lukashina

lukashina's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.3k2523.6k3.7k

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16k372201.9k

• whitead/paper-qa

  LLM Chain for answering questions from documents with citations

  Language:Python3.8k40141365

• lucidrains/toolformer-pytorch

  Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI

  Language:Python2k3816122

• https-deeplearning-ai/machine-learning-engineering-for-production-public

  Public repo for DeepLearning.AI MLEP Specialization

  Language:Jupyter Notebook1.9k30552.4k

• NVlabs/stylegan2-ada

  StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

  Language:Python1.8k34112499

• chemprop/chemprop

  Message Passing Neural Networks for Molecule Property Prediction

  Language:Python1.8k36555587

• JunMa11/SOTA-MedSeg

  SOTA medical image segmentation methods based on various challenges

  1.5k777201

• DeepGraphLearning/torchdrug

  A powerful and flexible machine learning platform for drug discovery

  Language:Python1.4k29225200

• mims-harvard/TDC

  Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

  Language:Jupyter Notebook1k27130174

• whitead/dmol-book

  Deep learning for molecules and materials book

  Language:Jupyter Notebook61416158120

• MolecularAI/aizynthfinder

  A tool for retrosynthetic planning

  Language:Python58828109135

• spring-attic/spring-hadoop-samples

  Spring Hadoop Samples

  Language:Java49111325464

• openproblems-bio/openproblems

  Formalizing and benchmarking open problems in single-cell genomics

  Language:Shell320718580

• gasteigerjo/dimenet

  DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)

  Language:Python29343261

• learningmatter-mit/geom

  GEOM: Energy-annotated molecular conformations

  Language:Jupyter Notebook203101326

• hwwang55/PathCon

  Combining relational context and relational paths for knowledge graph completion

  Language:Python13141429

• tencent-alchemy/Alchemy

  Language:Python115111538

• connorcoley/ochem_predict_nn

  Language:Python11191438

• vsomnath/graphretro

  Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)

  Language:Python463914

• bhushank/kge-rl

  Implements various negative sampling techniques for learning knowledge graph embeddings

  Language:Python39518

• hesther/reactiondatabase

  A database of reaction properties containing the atom-mapped reaction SMILES and the target properties.

  32114

• tatonetti-lab/nsides-release

  Analysis notebooks and database interaction scripts for the nsides project

  Language:Jupyter Notebook17349

• AllanSCosta/semantic-protein-folding

  Experiments in protein folding through language modeling

  Language:Python10104

• ggonzalezp/hyperfoods

  Language:HTML4202

• kspieks/DimeReaction

  Language:Python2100

• lcmd-epfl/b2r2-reaction-rep

  B2R2 Reaction Representation

  Language:Jupyter Notebook2202