louisfb01 / best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
☆2,900Updated last year
Related projects ⓘ
Alternatives and complementary repositories for best_AI_papers_2021
- An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites☆4,633Updated 3 months ago
- A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth articl…☆3,196Updated last year
- It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; ho…☆4,519Updated 2 years ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,492Updated last month
- A curated list of awesome self-supervised methods☆6,159Updated 4 months ago
- NYU Deep Learning Spring 2021☆1,575Updated last month
- 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱☆2,046Updated this week
- NYU Deep Learning Spring 2020☆6,693Updated last month
- My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…☆990Updated 3 years ago
- Trax — Deep Learning with Clear Code and Speed☆8,093Updated last month
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆13,529Updated 2 months ago
- 🧠 A study guide to learn about Transformers☆1,539Updated last year
- This repository contains implementations and illustrative code to accompany DeepMind publications☆13,204Updated 2 weeks ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,257Updated 8 months ago
- PyTorch tutorials and best practices.☆1,656Updated 2 years ago
- A collection of resources and papers on Diffusion Models☆11,037Updated 3 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,823Updated last year
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,043Updated 4 months ago
- StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/uncondi…☆3,426Updated 3 months ago
- An annotated implementation of the Transformer paper.☆5,701Updated 7 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,441Updated 9 months ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆4,973Updated 4 months ago
- A concise but complete full-attention transformer with a set of promising experimental features from various papers☆4,760Updated this week
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆7,911Updated this week
- ☆10,399Updated 5 months ago
- Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presenta…☆1,387Updated 3 years ago
- Materials for the Hugging Face Diffusion Models Course☆3,640Updated 2 months ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,528Updated 3 years ago
- This repo contains annotated research papers that I found really good and useful☆2,683Updated last week
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆28,337Updated this week