pytorch-implementations
ml-course
| pytorch-implementations | ml-course | |
|---|---|---|
| 1 | 8 | |
| 23 | 2,059 | |
| - | 2.4% | |
| 0.0 | 2.4 | |
| almost 3 years ago | 3 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch-implementations
-
Paper Implementations using PyTorch
I have created a git repository that contains a collection of pytorch notebooks implementing different deep learning papers. These notebooks were created by me during my learning process and hopefully would help others play around with the concepts related to the papers. Here is the link: https://github.com/jaygala24/pytorch-implementations
ml-course
What are some alternatives?
autogluon - Fast and Accurate ML in 3 Lines of Code
IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets
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.
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.
conformal-prediction - Lightweight, useful implementation of conformal prediction on real data.
TabularSemanticParsing - Translating natural language questions to a structured query language
ml-mipt - Former repository of ML course. Redirect link included
paper-implementations - Attempts to implement various deep learning, computer vision papers.
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.
reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University