Wani-Taka's Stars
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
anuraghazra/github-readme-stats
:zap: Dynamically generated stats for your github readmes
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
zqfang/GSEApy
Gene Set Enrichment Analysis in Python
igraph/igraph
Library for the analysis of networks
divelab/DIG
A library for graph deep learning research
RosettaCommons/RoseTTAFold
This package contains deep learning models and related scripts for RoseTTAFold
kexinhuang12345/SkipGNN
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
mims-harvard/TDC
Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science
greenelab/deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
MolecularAI/GraphINVENT
Graph neural networks for molecular design.
a-r-j/graphein
Protein Graph Library
songlab-cal/tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
optuna/optuna
A hyperparameter optimization framework
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
awslabs/dgl-lifesci
Python package for graph neural networks in chemistry and biology
google-deepmind/alphafold
Open source code for AlphaFold.
Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
aspuru-guzik-group/chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
sudiptodip15/ClusterGAN
Latent space clustering in Generative Adversarial Network (GAN)
mcs07/MolVS
Molecule Validation and Standardization
insilicomedicine/GENTRL
Generative Tensorial Reinforcement Learning (GENTRL) model
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
sdv-dev/CTGAN
Conditional GAN for generating synthetic tabular data.
stamakro/GCN-for-Structure-and-Function
Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"
masashitsubaki/molecularGNN_smiles
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
naver/biobert-pretrained
BioBERT: a pre-trained biomedical language representation model for biomedical text mining