yilinyl

yilinyl's Stars

• TransformerLensOrg/TransformerLens

  A library for mechanistic interpretability of GPT-style language models

  Language:Python1.4k269

• YoshitakaMo/localcolabfold

  ColabFold on your local PC

  Language:Python554129

• haiyuan-yu-lab/NetFlow3D

  Language:Python21

• paccanarolab/dissim

  Disease Similarity Calculation

  Language:Python1

• samsledje/ConPLex

  Adapting protein language models and contrastive learning for highly-accurate drug-target interaction prediction.

  Language:Python11932

• samsledje/ConPLex_dev

  Language:Jupyter Notebook4116

• FreshAirTonight/af2complex

  Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

  Language:Python14619

• tloen/alpaca-lora

  Instruct-tune LLaMA on consumer hardware

  Language:Jupyter Notebook18.5k2.2k

• OATML-Markslab/ProteinGym

  Official repository for the ProteinGym benchmarks

  Language:HTML20419

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.6k941

• mims-harvard/PrimeKG

  Precision Medicine Knowledge Graph (PrimeKG)

  Language:Jupyter Notebook37581

• RL4M/KeAP

  An official implementation of Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning

  Language:Python232

• Peldom/papers_for_protein_design_using_DL

  List of papers about Proteins Design using Deep Learning

  1.4k168

• google-deepmind/alphamissense

  Language:Python49164

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.8k281

• LirongWu/awesome-protein-representation-learning

  Awesome Protein Representation Learning

  59068

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  5.8k841

• zqgao22/HIGH-PPI

  Language:Python6810

• 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

• CapraLab/cosmis

  COSMIS is a framework for quantifying the mutational constraint on amino acid sites in 3D spatial neighborhoods. The framework currently maps the landscape of 3D mutational constraint on 6.1 amino acid sites covering >80% (16,533) of human proteins.

  Language:Python165

• DeepGraphLearning/torchdrug

  A powerful and flexible machine learning platform for drug discovery

  Language:Python1.4k200

• k2-fsa/k2

  FSA/FST algorithms, differentiable, with PyTorch compatibility.

  Language:Cuda1.1k213

• k2-fsa/icefall

  Language:Python886286

• broadinstitute/gnomad_methods

  Hail helper functions for the gnomAD project and Translational Genomics Group

  Language:Python8526

• acbull/pyHGT

  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

  Language:Python775162

• BorgwardtLab/proteinshake

  Protein structure datasets for machine learning.

  Language:Python937

• BorgwardtLab/SAT

  Official Pytorch code for Structure-Aware Transformer.

  Language:Python23535

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.3k3k

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python864132

• ShenLab/gMVP

  Language:Python196