SamusRam's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
google-deepmind/alphafold
Open source code for AlphaFold 2.
karpathy/ng-video-lecture
sokrypton/ColabFold
Making Protein folding accessible to all!
soedinglab/MMseqs2
MMseqs2: ultra fast and sensitive search and clustering suite
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.
a-r-j/graphein
Protein Graph Library
sicara/tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.x
steineggerlab/foldseek
Foldseek enables fast and sensitive comparisons of large structure sets.
lucidrains/bottleneck-transformer-pytorch
Implementation of Bottleneck Transformer in Pytorch
tunguz/ML_Resources
GitHub Repo with various ML/AI/DS resources that I find useful
rxn4chemistry/rxnmapper
RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).
tttianhao/CLEAN
CLEAN: a contrastive learning model for high-quality functional prediction of proteins
gatagat/lap
Linear Assignment Problem solver (LAPJV/LAPMOD).
agemagician/Ankh
Ankh: Optimized Protein Language Model
CellProfiling/HPA-Cell-Segmentation
lmassaron/kaggledays-2019-gbdt
Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
anton-bushuiev/PPIRef
Dataset and package for working with protein-protein interactions in 3D
brandontrabucco/design-baselines
Baselines for Model-Based Optimization
anton-bushuiev/PPIformer
Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)
sokrypton/map_align
Contact map alignment
kirjner/GGS
This repository implements Gibbs sampling with Graph-based Smoothing
pluskal-lab/MassSpecGym
MassSpecGym: A benchmark for the discovery and identification of molecules (NeurIPS 2024 Spotlight)
ratthachat/awesome-biochem-ai
Curated list on Deep Transformers Applications on Biology and Chemistry
ratthachat/deep-rna
Easy & Pretrained SOTA Deep Learning for RNA strings
roman-bushuiev/DreaMS_legacy
DreaMS (Deep Representations Empowering the Annotation of Mass Spectra)
KoubaPetr/CoVAMPnet
anton-bushuiev/MassSpecGym
MassSpecGym: A benchmark for the discovery and identification of molecules
CalounovaT/TPS
Terpene synthases mining project
MichalPospech/Bioinformatic-data-collector
Tool to get data from bioinformatic databases