zhaitongqing233 Goto Github PK

ai_quant_trade

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

alphanetv3

Recurrent Neural Network for predicting Stock Returns

alphatensor

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

backdoor-attack-against-speaker-verification

Pytorch implementation of Backdoor Attack against Speaker Verification

backtrader

Python Backtesting library for trading strategies

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

communities

Library of community detection algorithms and visualization tools

dlg

[NeurIPS 2019] Deep Leakage From Gradients

elephantfish

elephantfish: 一个只有124行的**象棋引擎

federatedscope

fintwit-bot

A Discord bot to keep track of your favorite financial influencers on Twitter

graphembedding

一些graph/network embedding算法的pytorch实现

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

helloworld

somenewtries

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pytorch-classification

Classification with PyTorch.

semi-supervised_robust_training

This is the code for semi-supervised robust training (SRT).

shadowsocks_install

Auto Install Shadowsocks Server for CentOS/Debian/Ubuntu

sherwood_trading

A cryptocurrency trader on Robin Stocks.

talib-document

talib学习 talib中文翻译 talib中文文档

timesnet

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq