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
- A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and cod…☆2,230Updated 2 years ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,822Updated last year
- An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites☆4,648Updated 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…☆3,199Updated last year
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆13,580Updated 3 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,261Updated 8 months ago
- Machine Learning Notebooks☆3,298Updated 7 months ago
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,867Updated 5 months ago
- Code Repository for The Kaggle Book, Published by Packt Publishing☆2,196Updated 5 months ago
- Applied Deep Learning Course☆3,192Updated last year
- Scenic: A Jax Library for Computer Vision Research and Beyond☆3,334Updated last month
- This repo contains annotated research papers that I found really good and useful☆2,687Updated 2 weeks ago
- Code release for ConvNeXt model☆5,774Updated last year
- 💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab…☆929Updated 4 months ago
- 🏅 Collection of Kaggle Solutions and Ideas 🏅☆4,991Updated this week
- Pen and paper exercises in machine learning☆1,935Updated 5 months ago
- Geometric Computer Vision Library for Spatial AI☆9,978Updated this week
- Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.☆1,820Updated 2 weeks ago
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,061Updated 5 months ago
- A playbook for systematically maximizing the performance of deep learning models.☆27,261Updated 5 months ago
- https://huyenchip.com/ml-interviews-book/☆3,443Updated 5 months ago
- Explanation to key concepts in ML☆7,321Updated this week
- 🧠 A study guide to learn about Transformers☆1,541Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,106Updated last year
- Approaching (Almost) Any Machine Learning Problem☆7,442Updated last year
- ☆10,467Updated 6 months ago
- A collection of resources to learn about MLOPs.☆930Updated last year
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Py…☆20,652Updated last week
- An unofficial styleguide and best practices summary for PyTorch☆1,931Updated 2 years ago