jasonkim8652's Stars
steineggerlab/foldseek
Foldseek enables fast and sensitive comparisons of large structure sets.
chaidiscovery/chai-lab
Chai-1, SOTA model for biomolecular structure prediction
kongds/MoRA
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
AlexDuvalinho/GraphSVX
Explanation method for Graph Neural Networks (GNNs)
ndey96/GCNN-Explainability
Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
guanjq/targetdiff
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
EDAPINENUT/CBGBench
Official code repository of CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
universvm/how_to_create_a_protein
A short course on proteins and protein design aimed at early career students
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
pytorch/tensordict
TensorDict is a pytorch dedicated tensor container.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AIRI-Institute/FFREED
AIRI-Institute/GOLF
GOLF: Gradual Optimization Learning for Conformational Energy Minimization
Merck/BioPhi
BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluation (OASis) and an interface for computer-assisted antibody sequence design.
kyegomez/AlphaFold3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
jasonkim8652/al_breakdown
baker-laboratory/RoseTTAFold-All-Atom
aqlaboratory/openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
MorganCThomas/MolScore
An automated scoring function to facilitate and standardize the evaluation of goal-directed generative models for de novo molecular design
Laboratoire-de-Chemoinformatique/Synt-On
Open-source tool for synthons-based library design.
connorcoley/rdchiral
Wrapper for RDKit's RunReactants to improve stereochemistry handling
dptech-corp/Uni-Core
an efficient distributed PyTorch framework
dptech-corp/Uni-Fold
An open-source platform for developing protein models beyond AlphaFold.
cossio/imsb-uke-TCRs-pMHC
Datasets containing CDR3 Beta sequences and peptide sequences, with a true label indication whether the combination binds or not.
DrrDom/crem
CReM: chemically reasonable mutations framework
rdk/p2rank
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
bowenliu16/rl_graph_generation
amorehead/EGNN-DGL
An implementation of the Equivariant Graph Neural Network (EGNN) layer type for DGL-PyTorch.