⏬ Dumb downloader that scrapes the web

👍Java 低代码, 轻量级, Spring Boot, MyBatis, Flowable, TypeScript, Vue, Antdv, 包括核心模块如：组织机构、角色用户、权限授权、数据权限、内容管理、工作流、Spring Cloud 微服务等。

A Django content management system focused on flexibility and user experience

The easy-to-use and developer-friendly enterprise CMS powered by Django

一个基于Springboot的内容管理系统（CMS）

CVPR2021最新论文汇总，主要包括：Transformer, NAS，模型压缩，模型评估，图像分类，检测，分割，跟踪，GAN，超分辨率，图像恢复，去雨，去雾，去模糊，去噪，重建等等

OpenCV-Python4.1 中文文档

Opencv4.0 with python (English&中文)， and will keep the update ! 👊

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Copy-paste augmentation for segmentation and detection tasks

An Industrial Grade Federated Learning Framework

Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]

Load biophysicochemical properties of amino acids, Kidera factors and Atchley factors into R and Python in only a single line.

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

APBS - software for biomolecular electrostatics and solvation

AI学习过程中的实操代码

Get protein embeddings from protein sequences

Modelling the Language of Life - Deep Learning Protein Sequences

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

Visualizer for neural network, deep learning and machine learning models

Sequence-to-sequence model with LSTM encoder/decoders and attention

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

Listing of papers about machine learning for proteins.

An open library for the analysis of molecular dynamics trajectories

How Powerful are Graph Neural Networks?

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

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

Protein Interface Prediction using Graph Convolutional Networks