2019mohamed

2019mohamed's Stars

• pytorch/torchtune

  PyTorch native finetuning library

  Language:Python4.4k47735446

• bytedance/Protenix

  A trainable PyTorch reproduction of AlphaFold 3.

  Language:Python674162253

• ikostrikov/pytorch-flows

  PyTorch implementations of algorithms for density estimation

  Language:Python57718875

• openmm/pdbfixer

  PDBFixer fixes problems in PDB files

  Language:Python49613200117

• apple/ml-cross-entropy

  Language:Python1879

• KellerJordan/Muon

  Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead

  Language:Python1254

• UCSC-REAL/negative-label-smoothing

  [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"

  Language:Python11710310

• grimme-lab/dxtb

  Efficient And Fully Differentiable Extended Tight-Binding

  Language:Python7154211

• andres-fr/skerch

  Sketched matrix decompositions for PyTorch

  Language:Python67322

• etowahadams/interprot

  Language:TypeScript632

• AstraZeneca/DiffAbXL

  The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".

  Language:Python505

• graphgeeks-lab/awesome-graph-universe

  A curated list of resources for graph-related topics, including graph databases, analytics and science

  4514

• huzecong/argtyped

  Command line argument parser, with types.

  Language:Python29252

• Minys233/Dynaformer

  Language:Python29151

• styalai/xLSTM-pytorch

  A easy to use implementation of xLSTM

  Language:Python26311

• HySonLab/LatentDE

  Latent-based Directed Evolution guided by Gradient Ascent for Protein Design

  Language:Python24110

• uci-cbcl/esm-efficient

  Language:Python24222

• CarbonMatrixLab/AbX

  Official open-source of Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical, and Geometric Constraints

  Language:Python16

• azminewasi/Awesome-MoML-NeurIPS24

  ALL Molecular ML papers from NeurIPS'24.

  131

• hegdepashupati/gaussian-process-odes

  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes

  Language:Jupyter Notebook12503

• ml-jku/Prot-xLSTM

  Language:Python9

• AI4SCR/conditional-monge

  Extension of the Monge Gap to learn conditional optimal transport maps

  Language:Python7420

• hnisonoff/discrete_guidance

  Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"

  Language:Jupyter Notebook6200

• senmaoy/RAT-Diffusion

  A small diffusion model for text-to-image generation

  Language:Python50

• NREL-Distribution-Suites/gridai

  Language:Python4

• cairo-thws/XAIDIFF

  A framework for local example-based explanations with generative models.

  Language:Python10

• kyunghyuncho/empirical-testing

  Language:Jupyter Notebook1

• MauroCE/MLFlowDagsterOptunaExample

  A simple example of performing hyperparameter search with Optuna, MLFlow and Dagster

  1

• petrus-mikkola/prefflow

  Preferential Normalizing Flows

  Language:Python1

• uhlerlab/observational-crl

  Language:Jupyter Notebook1