Alternatives and similar repositories for deepmind-research:

Users that are interested in deepmind-research are comparing it to the libraries listed below

• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,939Updated last month
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,655Updated last week
• google-deepmind / alphafold
  Open source code for AlphaFold 2.
  ☆13,085Updated 3 weeks ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆21,751Updated this week
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆28,807Updated last week
• google-research / simclr
  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
  ☆4,173Updated last year
• google-research / google-research
  Google Research
  ☆34,691Updated this week
• jason718 / awesome-self-supervised-learning
  A curated list of awesome self-supervised methods
  ☆6,205Updated 6 months ago
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,272Updated this week
• google-deepmind / sonnet
  TensorFlow-based neural network library
  ☆9,797Updated 2 months ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,662Updated this week
• openai / spinningup
  An educational resource to help anyone learn deep reinforcement learning.
  ☆10,361Updated 5 months ago
• facebookresearch / fairseq
  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
  ☆30,809Updated last week
• pytorch / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆22,626Updated 2 months ago
• ashishpatel26 / Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
  Tools to Design or Visualize Architecture of Neural Network
  ☆4,581Updated 11 months ago
• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆30,985Updated this week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,033Updated this week
• facebookresearch / pytorch3d
  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
  ☆8,976Updated this week
• NVIDIA / DeepLearningExamples
  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…
  ☆13,831Updated 5 months ago
• pytorch / tutorials
  PyTorch tutorials.
  ☆8,346Updated this week
• karpathy / minGPT
  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
  ☆20,810Updated 5 months ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆11,236Updated this week
• soumith / ganhacks
  starter from "How to Train a GAN?" at NIPS2016
  ☆11,501Updated 3 years ago
• google / trax
  Trax — Deep Learning with Clear Code and Speed
  ☆8,136Updated this week
• google-deepmind / mujoco
  Multi-Joint dynamics with Contact. A general purpose physics simulator.
  ☆8,572Updated this week
• autogluon / autogluon
  Fast and Accurate ML in 3 Lines of Code
  ☆8,262Updated this week
• cupy / cupy
  NumPy & SciPy for GPU
  ☆9,690Updated this week
• bharathgs / Awesome-pytorch-list
  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
  ☆15,593Updated 11 months ago
• AntixK / PyTorch-VAE
  A Collection of Variational Autoencoders (VAE) in PyTorch.
  ☆6,853Updated 7 months ago
• HarisIqbal88 / PlotNeuralNet
  Latex code for making neural networks diagrams
  ☆22,583Updated last year