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程序员应该访问的最佳网站中文版

一个收集C/C++新手学习的入门项目，整理收纳开发者开源的小项目、工具、框架、游戏等，视频，书籍，面试题/算法题，技术文章。

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

使用pytorch搭建textCNN实现中文文本分类

A simplified implemention of Faster R-CNN that replicate performance from origin paper

rdkit总结与实践

C++那些事

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

A C++ High Performance Web Server

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

A C++ library for interacting with JSON.

《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

c++经典项目贪吃蛇游戏控制台版，详细注释

我的学习资料，包括书籍、网址等

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/1…

Predicting Drug Protein Interaction using Quasi-Visual Question Answering System

中文版 Apple 官方 Swift 教程《The Swift Programming Language》

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

A deep learning-based framework for ligand-binding sites classification.

Pytorch implementation of BionoiNet, which is a deep learning-based software to classify ligand-binding sites.

Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.

The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.

Graph neural network (GNN) for molecular property prediction (3D structure)

Deep Reinforcement Learning for de-novo Drug Design

Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)