{"id":16507901,"url":"https://github.com/noahgift/edge-computer-vision","last_synced_at":"2025-05-11T21:03:07.465Z","repository":{"id":141810166,"uuid":"227888129","full_name":"noahgift/edge-computer-vision","owner":"noahgift","description":"Edge Computer Vision Course","archived":false,"fork":false,"pushed_at":"2025-01-10T22:58:42.000Z","size":2896,"stargazers_count":46,"open_issues_count":3,"forks_count":18,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-31T21:51:36.472Z","etag":null,"topics":["colab","computer","course","gpu","learning","machine","machinelearning-python","python","vision"],"latest_commit_sha":null,"homepage":"https://noahgift.github.io/edge-computer-vision/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/noahgift.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"license.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-12-13T17:13:12.000Z","updated_at":"2025-03-01T01:21:20.000Z","dependencies_parsed_at":null,"dependency_job_id":"3ef65096-ab17-410b-b728-8fad695d17a0","html_url":"https://github.com/noahgift/edge-computer-vision","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fedge-computer-vision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fedge-computer-vision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fedge-computer-vision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fedge-computer-vision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/noahgift","download_url":"https://codeload.github.com/noahgift/edge-computer-vision/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253633003,"owners_count":21939387,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["colab","computer","course","gpu","learning","machine","machinelearning-python","python","vision"],"created_at":"2024-10-11T15:31:43.105Z","updated_at":"2025-05-11T21:03:07.415Z","avatar_url":"https://github.com/noahgift.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Edge Computer Vision Course\n\n## 🎓 Pragmatic AI Labs | Join 1M+ ML Engineers\n\n### 🔥 Hot Course Offers:\n* 🤖 [Master GenAI Engineering](https://ds500.paiml.com/learn/course/0bbb5/) - Build Production AI Systems\n* 🦀 [Learn Professional Rust](https://ds500.paiml.com/learn/course/g6u1k/) - Industry-Grade Development\n* 📊 [AWS AI \u0026 Analytics](https://ds500.paiml.com/learn/course/31si1/) - Scale Your ML in Cloud\n* ⚡ [Production GenAI on AWS](https://ds500.paiml.com/learn/course/ehks1/) - Deploy at Enterprise Scale\n* 🛠️ [Rust DevOps Mastery](https://ds500.paiml.com/learn/course/ex8eu/) - Automate Everything\n\n### 🚀 Level Up Your Career:\n* 💼 [Production ML Program](https://paiml.com) - Complete MLOps \u0026 Cloud Mastery\n* 🎯 [Start Learning Now](https://ds500.paiml.com) - Fast-Track Your ML Career\n* 🏢 Trusted by Fortune 500 Teams\n\nLearn end-to-end ML engineering from industry veterans at [PAIML.COM](https://paiml.com)\n\n\n## Github Actions\n\n![Python application test with Github Actions](https://github.com/noahgift/edge-computer-vision/workflows/Python%20application%20test%20with%20Github%20Actions/badge.svg)\n\n\n## Build Status\n\n[![CircleCI](https://circleci.com/gh/noahgift/edge-computer-vision.svg?style=svg)](https://circleci.com/gh/noahgift/edge-computer-vision)\n\n\n## Lesson 1:  Introduction to Applied Computer Vision\n\n* Overview of Syllabus (30 min)\n* [Lecture:  Computing Trends supporting applied Computer Vision (60 min)](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture_1.ipynb)\n\n## Lesson 2:  Emerging Computer Vision Technologies\n\n* [Lecture:  Emerging Computer Vision Technologies](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture2.ipynb)\n\n## Lesson 3: AI Computer Vision APIs\n\n* [Lecture:  Computer Vision APIs](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture3.ipynb)\n\n## [Project Week]\n## Lesson 4: AutoML Computer Vision\n\n* [Lecture:  AutoML](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture4.ipynb)\n* [Ludwig example](https://uber.github.io/ludwig/examples/)\n* [AutoML Tutorial GCP](https://cloud.google.com/vision/automl/docs/tutorial)\n\n## Lesson 5: Running Computer Vision ML models on the Edge\n\n* [Lecture:  Edge Computer Vision](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture5.ipynb)\n\n## Lesson 6: Final Presentations\n\n## Additional Resources\n\n### GPU References\n\n* [NVidia Cuda](https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html#linux)\n\n### Visualization\n\n* [Streamlit](https://www.streamlit.io/)\n\n### AutoML\n\n* [Apple Create ML](https://developer.apple.com/documentation/createml)\n\n### Additional Related Topics from Noah Gift\n\nHis most recent books are:\n\n*   [Pragmatic A.I.:   An introduction to Cloud-Based Machine Learning (Pearson, 2018)](https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860)\n*   [Python for DevOps (O'Reilly, 2020)](https://www.amazon.com/Python-DevOps-Ruthlessly-Effective-Automation/dp/149205769X). \n\nHis most recent video courses are:\n\n*   [Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)](https://learning.oreilly.com/videos/essential-machine-learning/9780135261118)\n*   [AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)\n*   [Python for Data Science Complete Video Course Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/python-for-data/9780135687253)\n*   [AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-big/9780135772324)\n*   [Building A.I. Applications on Google Cloud Platform (Pearson, 2019)](https://learning.oreilly.com/videos/building-ai-applications/9780135973462)\n*   [Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)](https://learning.oreilly.com/videos/pragmatic-ai-and/9780136554714)\n*   [Data Engineering with Python and AWS Lambda (Pearson, 2019)](https://learning.oreilly.com/videos/data-engineering-with/9780135964330)\n\nHis most recent online courses are:\n\n*   [Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)](https://www.udacity.com/course/cloud-dev-ops-nanodegree--nd9991)\n*   [Command Line Automation in Python (DataCamp, 2019)](https://www.datacamp.com/instructors/ndgift)\n*   [AWS Certified Cloud Practitioner 2020-Real World \u0026 Pragmatic](https://www.udemy.com/course/aws-certified-cloud-practitioner-2020-real-world-pragmatic/?referralCode=CAC679A7D08212773428)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fedge-computer-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoahgift%2Fedge-computer-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fedge-computer-vision/lists"}