Stars
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Using LSTMs to automatically grade essays.
Leveraging OpenCV to detect lanes in Grand Theft Auto San Andreas.
Using M RCNN to detect Indian license plates
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
dair-ai / pytorch_notebooks
Forked from omarsar/pytorch_notebooks🔥 A collection of PyTorch notebooks for learning and practicing deep learning
Papers & presentation materials from Hugging Face's internal science day
Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content
🎓 Path to a free self-taught education in Computer Science!
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
Natural Language Processing Best Practices & Examples
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
High-level batteries-included neural network training library for Pytorch
An Open Source YouTube app for privacy
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
TensorFlow Tutorials with YouTube Videos
NLP in Python with Deep Learning
The most cited deep learning papers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Notes for Fastai Deep Learning Course