deepcourse
ml-course
| deepcourse | ml-course | |
|---|---|---|
| 1 | 8 | |
| 131 | 2,047 | |
| - | 1.9% | |
| 2.6 | 2.4 | |
| over 2 years ago | 8 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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deepcourse
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From Zero to Research on Deep Learning Vision: in-depth courses + google colab tutorials + Anki cards
ml-course
What are some alternatives?
open_clip - An open source implementation of CLIP.
pytorch-implementations - A collection of paper implementations using the PyTorch framework
ml-mipt - Former repository of ML course. Redirect link included
IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets
kaggle-courses - Courses on Kaggle
Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TabularSemanticParsing - Translating natural language questions to a structured query language
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.