google-deepmind / deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
☆13,462Updated 2 months ago
Alternatives and similar repositories for deepmind-research:
Users that are interested in deepmind-research are comparing it to the libraries listed below
- Google Research☆34,835Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,707Updated this week
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆28,927Updated this week
- Model interpretability and understanding for PyTorch☆5,065Updated 2 weeks ago
- 🐍 Geometric Computer Vision Library for Spatial AI☆10,193Updated this week
- ☆10,854Updated 2 months ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,677Updated last week
- Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.☆15,791Updated last year
- Open source code for AlphaFold 2.☆13,139Updated last week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,525Updated this week
- A hyperparameter optimization framework☆11,319Updated last week
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,081Updated last month
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆30,899Updated 3 weeks ago
- BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)☆7,113Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,178Updated last year
- Flax is a neural network library for JAX that is designed for flexibility.☆6,313Updated this week
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆138,715Updated this week
- JAX-based neural network library☆2,953Updated last week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆31,185Updated this week
- PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO☆6,565Updated 7 months ago
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆6,884Updated 7 months ago
- 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production☆9,349Updated last week
- An elegant PyTorch deep reinforcement learning library.☆8,163Updated last week
- Google Brain AutoML☆6,306Updated 10 months ago
- An annotated implementation of the Transformer paper.☆5,968Updated 10 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,265Updated 11 months ago
- Must-read papers on graph neural networks (GNN)☆16,213Updated last year
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,611Updated last year
- Latex code for making neural networks diagrams☆22,672Updated last year
- Unsupervised text tokenizer for Neural Network-based text generation.☆10,558Updated last week