ml-course
pytorch-implementations
| ml-course | pytorch-implementations | |
|---|---|---|
| 8 | 1 | |
| 2,059 | 23 | |
| 2.4% | - | |
| 2.4 | 0.0 | |
| 3 days ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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ml-course
pytorch-implementations
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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
What are some alternatives?
IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets
autogluon - Fast and Accurate ML in 3 Lines of Code
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.
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.
TabularSemanticParsing - Translating natural language questions to a structured query language
conformal-prediction - Lightweight, useful implementation of conformal prediction on real data.
ml-mipt - Former repository of ML course. Redirect link included
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
paper-implementations - Attempts to implement various deep learning, computer vision papers.
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