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awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

chm13

The complete sequence of a human genome

crispriadesign

dash_v_streamlit

deepfold

Predict RNA secondary structure using Deep Learning

deepinsight

A general framework for interpreting wide-band neural activity

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

deltanotch_cc3d

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

docker_seq

dtinet

A Network Integration Approach for Drug-Target Interaction Prediction

dtrace

Integration of pharmacological and drop-out CRISPR-Cas9 screens

gentrl

Generative Tensorial Reinforcement Learning (GENTRL) model

javascript-d3

kaiychen.github.io

PersonalWebsite

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

pandrugs-docker

A Dockerfile to generate an all-in-one pandrugs server

perturbseq_gi

Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"

seqanalyze

sgdesigner

simple-read-only-test

Playing with Grails transactions

star-gatk

tcga_r

tucker

TuckER: Tensor Factorization for Knowledge Graph Completion