dauparas

dauparas's Stars

• HeliXonProtein/OmegaFold

  OmegaFold Release Code

  Language:Python54777

• aqlaboratory/openfold

  Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

  Language:Python2.8k525

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.6k198

• ag1988/dss

  Sequence Modeling with Structured State Spaces

  Language:Jupyter Notebook602

• google-deepmind/mathematics_conjectures

  Language:Jupyter Notebook36641

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.4k290

• sokrypton/ColabFold

  Making Protein folding accessible to all!

  Language:Jupyter Notebook1.9k481

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.6k2.2k

• FabianFuchsML/se3-transformer-public

  code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

  Language:Python49067

• agemagician/ProtTrans

  ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

  Language:Jupyter Notebook1.1k152

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k2.2k

• facebookresearch/protein-ebm

  Energy-based models for atomic-resolution protein conformations

  Language:Python9520

• jingraham/neurips19-graph-protein-design

  Generative Models for Graph-Based Protein Design

  Language:Python25757

• microsoft/hummingbird

  Hummingbird compiles trained ML models into tensor computation for faster inference.

  Language:Python3.3k278

• NVIDIA-Genomics-Research/rapids-single-cell-examples

  Examples of single-cell genomic analysis accelerated with RAPIDS

  Language:Jupyter Notebook32368

• allydunham/aa_subtypes

  Code for the MSB publication: Exploring amino acid functions and positional subtypes in a deep mutational landscape

  Language:R102

• BIGBALLON/CIFAR-ZOO

  PyTorch implementation of CNNs for CIFAR benchmark

  Language:Python698178

• kamyu104/LeetCode-Solutions

  🏋️ Python / Modern C++ Solutions of All 3322 LeetCode Problems (Weekly Update)

  Language:C++4.7k1.6k

• brain-research/self-attention-gan

  Language:Python994175

• LMescheder/GAN_stability

  Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

  Language:Jupyter Notebook916114

• wiseodd/generative-models

  Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

  Language:Python7.3k2k

• brilee/MuGo

  Replicating AlphaGo's architecture in a readable manner

  Language:Python1.1k230

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.4k1.6k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.7k8.4k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k45.8k

• google-deepmind/dm-haiku

  JAX-based neural network library

  Language:Python2.9k233

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.3k6.4k

• churchlab/UniRep

  UniRep model, usage, and examples.

  Language:Python33796

• anvoynov/GANLatentDiscovery

  The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

  Language:Python41952