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-demo

1_mutect1_pon

Build a pool of normal (PoN) using MuTect v.1.1.7

500lines

500 Lines or Less

adam

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

ai-job-resume

AI 算法岗简历模板

ai-projects

Artificial Intelligence projects, documentation and code.

aitl

A repository for Adversarial Inductive Transfer Learning with input and output space adaptation

alphafold

Open source code for AlphaFold.

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

bilevel-graph-neural-network

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop

bio-transformers

bio-transformers is a wrapper on top of the ESM/Protbert model, trained on millions on proteins and used to predict embeddings.

biograkn

BioGrakn Knowledge Graph

boltzmannmachines.jl

A Julia package for training and evaluating multimodal deep Boltzmann machines

cddrugcellfindcell

cellpose

a generalist algorithm for cellular segmentation

chatbot

covid19_critically_ill

Trained model and inference code for early triage of critically-ill COVID-19 patients.

data-examples

Unpacked data sets with Gapminder, Titanic and more

dcell

DCell browser and gene deletion simulator

ddi-cat-indy-bnu

Comparison of drug-drug interactions in Catalonia, Indianapolis & Blumenau.

deep-generative-models

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deepfri

Deep functional residue identification

deephlapan

A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides and the potential immunogenicity of pMHC

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction

deepseqpan

A sequence-based pan model for peptide-MHC I binding affinity prediction.

deepsurv

DeepSurv is a deep learning approach to survival analysis.

deepsurv.pytorch