carlosfab
{
"type": "http://schema.org/Person",
"name": "",
"description": "",
"followers": "",
"url": "",
"location": "",
"languages": [
"Jupyter Notebook",
"Jupyter Notebook",
"Jupyter Notebook",
"Python",
"Jupyter Notebook",
"Jupyter Notebook"
],
"users": [
{
"name": "@carlosfab",
"avatar": "https://avatars.githubusercontent.com/u/20707349?s=64&v=4"
},
{
"name": "@carlosfab",
"avatar": "https://avatars.githubusercontent.com/u/20707349?s=64&v=4"
},
{
"name": "View carlosfab's full-sized avatar",
"avatar": "https://avatars.githubusercontent.com/u/20707349?v=4"
}
],
"topics": []
}
Sigmoidal
{
"avatar": "https://avatars.githubusercontent.com/u/20707349?v=4",
"name": "Carlos Melo",
"username": "carlosfab",
"description": "Machine Learning Engineer | Data Scientist | Computer Vision",
"location": "Cary, NC (USA)",
"vcard": "<svg class=\"octicon octicon-organization\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"M1.75 16A1.75 1.75 0 0 1 0 14.25V1.75C0 .784.784 0 1.75 0h8.5C11.216 0 12 .784 12 1.75v12.5c0 .085-.006.168-.018.25h2.268a.25.25 0 0 0 .25-.25V8.285a.25.25 0 0 0-.111-.208l-1.055-.703a.749.749 0 1 1 .832-1.248l1.055.703c.487.325.779.871.779 1.456v5.965A1.75 1.75 0 0 1 14.25 16h-3.5a.766.766 0 0 1-.197-.026c-.099.017-.2.026-.303.026h-3a.75.75 0 0 1-.75-.75V14h-1v1.25a.75.75 0 0 1-.75.75Zm-.25-1.75c0 .138.112.25.25.25H4v-1.25a.75.75 0 0 1 .75-.75h2.5a.75.75 0 0 1 .75.75v1.25h2.25a.25.25 0 0 0 .25-.25V1.75a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25ZM3.75 6h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5ZM3 3.75A.75.75 0 0 1 3.75 3h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 3 3.75Zm4 3A.75.75 0 0 1 7.75 6h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 7 6.75ZM7.75 3h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5ZM3 9.75A.75.75 0 0 1 3.75 9h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 3 9.75ZM7.75 9h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5Z\"></path></svg>\n <span class=\"p-org\"><div>Sigmoidal</div></span>\n",
"vcardDetails": [
{
"name": "https://sigmoidal.ai/",
"url": "https://sigmoidal.ai/"
},
{
"name": "http://linkedin.com/in/carlos-melo-data-science/",
"url": "http://linkedin.com/in/carlos-melo-data-science/"
},
{
"name": "http://twitter.com/carlos_melo_py",
"url": "http://twitter.com/carlos_melo_py"
},
{
"name": "http://youtube.com/@carlosmelosigmoidal",
"url": "http://youtube.com/@carlosmelosigmoidal"
},
{
"name": "http://instagram.com/carlos_melo.py/",
"url": "http://instagram.com/carlos_melo.py/"
}
],
"orgs": [],
"sponsors": [],
"pinned": [
{
"name": "taxi_demand_predictor",
"description": "End-to-end ML project for taxi demand predictor.",
"language": ""
},
{
"name": "visao-computacional",
"description": "Material de Apoio da Especialização em Visão Computacional",
"language": ""
},
{
"name": "data-science-na-pratica",
"description": "Material de apoio do curso \"Data Science na Prática\" - Sigmoidal",
"language": ""
},
{
"name": "drone_object_detection",
"description": "Object detection em tempo real",
"language": ""
},
{
"name": "sigmoidal_ai",
"description": "Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal",
"language": ""
},
{
"name": "aircraft-takeoff-speed-estimation",
"description": "Vehicle speed estimation using YOLOv8",
"language": ""
}
],
"pinnedHtml": [
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":20707349,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/carlosfab"}}\" data-hydro-click-hmac=\"cc33f246204b718656eb7090b4fea9d30784a9d4f883183925defbfb4a80fc4a\" id=\"692600570\" href=\"/carlosfab/taxi_demand_predictor\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">taxi_demand_predictor</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-4f9afb8c-d879-4451-b7e9-04e58e8d2aef\" for=\"692600570\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">taxi_demand_predictor</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n End-to-end ML project for taxi demand predictor.\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/carlosfab/taxi_demand_predictor/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 15\n </a>\n <a href=\"/carlosfab/taxi_demand_predictor/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 4\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":20707349,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/carlosfab"}}\" data-hydro-click-hmac=\"cc33f246204b718656eb7090b4fea9d30784a9d4f883183925defbfb4a80fc4a\" id=\"702052416\" href=\"/carlosfab/visao-computacional\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">visao-computacional</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-8d7dbd29-8d68-4e11-b684-83823bf169a2\" for=\"702052416\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">visao-computacional</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Material de Apoio da Especialização em Visão Computacional\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/carlosfab/visao-computacional/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 56\n </a>\n <a href=\"/carlosfab/visao-computacional/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 8\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":20707349,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/carlosfab"}}\" data-hydro-click-hmac=\"cc33f246204b718656eb7090b4fea9d30784a9d4f883183925defbfb4a80fc4a\" id=\"719552297\" href=\"/carlosfab/data-science-na-pratica\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">data-science-na-pratica</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-39a432a3-52aa-4e34-8c47-534eef461c65\" for=\"719552297\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">data-science-na-pratica</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Material de apoio do curso \"Data Science na Prática\" - Sigmoidal\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/carlosfab/data-science-na-pratica/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 18\n </a>\n <a href=\"/carlosfab/data-science-na-pratica/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 12\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":20707349,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/carlosfab"}}\" data-hydro-click-hmac=\"cc33f246204b718656eb7090b4fea9d30784a9d4f883183925defbfb4a80fc4a\" id=\"306542748\" href=\"/carlosfab/drone_object_detection\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">drone_object_detection</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-30a74857-4e52-4141-9b9b-69ecfb1abb38\" for=\"306542748\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">drone_object_detection</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Object detection em tempo real\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/carlosfab/drone_object_detection/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 43\n </a>\n <a href=\"/carlosfab/drone_object_detection/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 12\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":20707349,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/carlosfab"}}\" data-hydro-click-hmac=\"cc33f246204b718656eb7090b4fea9d30784a9d4f883183925defbfb4a80fc4a\" id=\"140233940\" href=\"/carlosfab/sigmoidal_ai\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">sigmoidal_ai</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-7073d124-2425-43fe-9672-489ebc273435\" for=\"140233940\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">sigmoidal_ai</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/carlosfab/sigmoidal_ai/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 175\n </a>\n <a href=\"/carlosfab/sigmoidal_ai/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 129\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":20707349,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/carlosfab"}}\" data-hydro-click-hmac=\"cc33f246204b718656eb7090b4fea9d30784a9d4f883183925defbfb4a80fc4a\" id=\"772906880\" href=\"/carlosfab/aircraft-takeoff-speed-estimation\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">aircraft-takeoff-speed-estimation</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-21acd4a0-5d26-4a5f-89e9-401326502135\" for=\"772906880\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">aircraft-takeoff-speed-estimation</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Vehicle speed estimation using YOLOv8\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/carlosfab/aircraft-takeoff-speed-estimation/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 31\n </a>\n <a href=\"/carlosfab/aircraft-takeoff-speed-estimation/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 7\n </a>\n </p>\n "
]
}
{
"accept-ranges": "bytes",
"cache-control": "max-age=0, private, must-revalidate",
"content-encoding": "gzip",
"content-security-policy": "default-src 'none'; base-uri 'self'; child-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/; connect-src 'self' uploads.github.com www.githubstatus.com collector.github.com raw.githubusercontent.com api.github.com github-cloud.s3.amazonaws.com github-production-repository-file-5c1aeb.s3.amazonaws.com github-production-upload-manifest-file-7fdce7.s3.amazonaws.com github-production-user-asset-6210df.s3.amazonaws.com *.rel.tunnels.api.visualstudio.com wss://*.rel.tunnels.api.visualstudio.com github.githubassets.com objects-origin.githubusercontent.com copilot-proxy.githubusercontent.com proxy.individual.githubcopilot.com proxy.business.githubcopilot.com proxy.enterprise.githubcopilot.com *.actions.githubusercontent.com wss://*.actions.githubusercontent.com productionresultssa0.blob.core.windows.net/ productionresultssa1.blob.core.windows.net/ productionresultssa2.blob.core.windows.net/ productionresultssa3.blob.core.windows.net/ productionresultssa4.blob.core.windows.net/ productionresultssa5.blob.core.windows.net/ productionresultssa6.blob.core.windows.net/ productionresultssa7.blob.core.windows.net/ productionresultssa8.blob.core.windows.net/ productionresultssa9.blob.core.windows.net/ productionresultssa10.blob.core.windows.net/ productionresultssa11.blob.core.windows.net/ productionresultssa12.blob.core.windows.net/ productionresultssa13.blob.core.windows.net/ productionresultssa14.blob.core.windows.net/ productionresultssa15.blob.core.windows.net/ productionresultssa16.blob.core.windows.net/ productionresultssa17.blob.core.windows.net/ productionresultssa18.blob.core.windows.net/ productionresultssa19.blob.core.windows.net/ github-production-repository-image-32fea6.s3.amazonaws.com github-production-release-asset-2e65be.s3.amazonaws.com insights.github.com wss://alive.github.com wss://alive-staging.github.com api.githubcopilot.com api.individual.githubcopilot.com api.business.githubcopilot.com api.enterprise.githubcopilot.com; font-src github.githubassets.com; form-action 'self' github.com gist.github.com copilot-workspace.githubnext.com objects-origin.githubusercontent.com; frame-ancestors 'none'; frame-src viewscreen.githubusercontent.com notebooks.githubusercontent.com; img-src 'self' data: blob: github.githubassets.com media.githubusercontent.com camo.githubusercontent.com identicons.github.com avatars.githubusercontent.com private-avatars.githubusercontent.com github-cloud.s3.amazonaws.com objects.githubusercontent.com release-assets.githubusercontent.com secured-user-images.githubusercontent.com/ user-images.githubusercontent.com/ private-user-images.githubusercontent.com opengraph.githubassets.com marketplace-screenshots.githubusercontent.com/ copilotprodattachments.blob.core.windows.net/github-production-copilot-attachments/ github-production-user-asset-6210df.s3.amazonaws.com customer-stories-feed.github.com spotlights-feed.github.com objects-origin.githubusercontent.com *.githubusercontent.com; manifest-src 'self'; media-src github.com user-images.githubusercontent.com/ secured-user-images.githubusercontent.com/ private-user-images.githubusercontent.com github-production-user-asset-6210df.s3.amazonaws.com gist.github.com github.githubassets.com; script-src github.githubassets.com; style-src 'unsafe-inline' github.githubassets.com; upgrade-insecure-requests; worker-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/",
"content-type": "text/html; charset=utf-8",
"date": "Fri, 02 Jan 2026 10:55:02 GMT",
"etag": "c7e6d68ec84f19baa49ed4d189e7c6d2",
"referrer-policy": "origin-when-cross-origin, strict-origin-when-cross-origin",
"server": "github.com",
"set-cookie": "logged_in=no; Path=/; Domain=github.com; Expires=Sat, 02 Jan 2027 10:55:02 GMT; HttpOnly; Secure; SameSite=Lax",
"strict-transport-security": "max-age=31536000; includeSubdomains; preload",
"transfer-encoding": "chunked",
"vary": "X-PJAX, X-PJAX-Container, Turbo-Visit, Turbo-Frame, X-Requested-With,Accept-Encoding, Accept, X-Requested-With",
"x-content-type-options": "nosniff",
"x-frame-options": "deny",
"x-github-request-id": "A128:3F676C:81E7894:A89CB73:6957A406",
"x-xss-protection": "0"
}