huang-guoliang

OCTproZ

OCTproZ is an open source software for optical coherence tomography processing and visualization.

styles

中文 CSL 样式

styles

Official repository for Citation Style Language (CSL) citation styles.

torch-rechub

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

learning-from-data

Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, perceptrons and other linear classifiers.

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

MolGpKa

The graph-convolutional neural network for pka prediction

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

simple-equivariant-gnn

A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks

Awesome-DeepLearning-500FAQ

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

Meta-MGNN

Few-Shot Graph Learning for Molecular Property Prediction

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

DECIMER-Image_Transformer

DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer

MathForDeepLearning

Source code for the book "Math for Deep Learning" (No Starch Press)

ketcher

Web-based molecule sketcher

Molecular-graph-BERT

semi-supervised learning for molecular property prediction

mordred

a molecular descriptor calculator

PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

padelpy

A Python wrapper for PaDEL-Descriptor software

PyFingerprint

Python tool for generate fingerprints of a molecule

XGraphBoost

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

neural-fingerprint

Convolutional nets which can take molecular graphs of arbitrary size as input.

mol_mpnn

Efficient Learning of Message Passing Neural Networks for Molecular Property Production

django-vue.js-book

django rest framework + vue 的图书管理小项目，前后端分离教程