zhaoqichang

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

bio_embeddings

Get protein embeddings from protein sequences

BioSentVec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Explainable-Deep-DT-Representations

Explainable Deep Drug-Target Representations for Binding Affinity Prediction

Hyperparameter-Tuning-with-Python

Hyperparameter Tuning with Python

torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

pointnetvlad

Add KITTI and Ford datasets support to PointNetVLAD (CVPR18) https://github.com/mikacuy/pointnetvlad

DrugAI_Drug-Likeness

Drug-Likeness

Affinity2Vec

Drug-target binding affinity prediction using representation learning, graph mining, and machine learning

protein-transformer

Predicting protein structure through sequence modeling

RecommendSystemPractice

《推荐系统实践》代码实现

tesseract

Tesseract Open Source OCR Engine (main repository)

videocr

Extract hardcoded subtitles from videos using machine learning

drugVQA

Predicting Drug Protein Interaction using Quasi-Visual Question Answering System

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

SparrowRecSys

A Deep Learning Recommender System

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

MolTrans

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

MAT

The official implementation of the Molecule Attention Transformer.

MachineLearningInAction-Camp

block.bootstrap.pytorch

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

transformerCPI

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Literature

Recent application of graph neural network in drug discovery

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

info8010-deep-learning

Lectures for INFO8010 Deep Learning, ULiège

dbn_tf

RBM/DBN implementation with tensorflow attempt project

PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.