quinn-yu

wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Models in PyTorch

foldingdiff

Diffusion models of protein structure; trigonometry and attention are all you need!

Transformer-M

[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)

foldseek

Foldseek enables fast and sensitive comparisons of large structure sets.

IgFold

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

DiffuSeq

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

diffusion

Denoising Diffusion Probabilistic Models

xTrimoMultimer

RFdiffusion

Code for running RFdiffusion

damaiAuto

基于python和selenium实现的大麦网自动刷新抢票脚本

umap

Uniform Manifold Approximation and Projection

Graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

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.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

pygpt4all

Official supported Python bindings for llama.cpp + gpt4all

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ml_collections

ML Collections is a library of Python Collections designed for ML use cases.

openfold

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

invariant-point-attention

Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

google-research

Google Research

optuna-examples

Examples for https://github.com/optuna/optuna

RFDesign

Protein hallucination and inpainting with RoseTTAFold

ColabDesign

Making Protein Design accessible to all via Google Colab!

RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

starfile

STAR file I/O in Python

optuna

A hyperparameter optimization framework

ProteinMPNN

Code for the ProteinMPNN paper