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af_backprop

alphafold

Open source code for AlphaFold.

attentivefp

binding-ddg-predictor

open source repository

bmcourse

The repo for Tsinghua summer course: Interdisciplinary Seminar on Big Models

colabdesign

Making Protein Design accessible to all via Google Colab!

cvae

github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"

d-script

A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

data-science-notes

数据科学的笔记以及资料搜集

deepaffinity

Protein-compound affinity prediction through unified RNN-CNN

deepcoy

fifa-2018-world-cup-predictions

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

foundations-for-analytics-with-python

graph-neural-networks-in-life-sciences

kv-plm

Source code for "A Deep-learning System Bridging Molecule Structure and Biomedical Text with Comprehension Comparable to Human Professionals"

localcolabfold

ColabFold on your local PC

mat

The official implementation of the Molecule Attention Transformer.

mathfeature

Feature Extraction Package for Biological Sequences

omegafold

OmegaFold Release Code

panpep

papers_for_protein_design_using_dl

List of papers about Proteins Design using Deep Learning

parallelfold

Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures

prosettac

protac-design

UROP Project @ Coley Group

protac-rl

proteinmpnn

Code for the ProteinMPNN paper

pyfeat

A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences

pytorch_template

rdkit_summary

rdkit总结与实践