This is a simulator to help with backtesting your alphas offline for platform WorldQuant Brain

An open source equity statistical arbitrage backtest simulator, use the same API as WorldQuant's WebSim https://www.worldquantvrc.com/en/cms/wqc/websim

Code implementation of the Quantigic 101 Formulaic Alphas

[ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data

GTP engine and self-play learning in Go

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

📚 华章计算机科学丛书高清扫描

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Dist…

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/patt…

TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.

一个批量模拟Alpha的工具

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

Simple API automation for submitting WorldQuant BRAIN alphas

A small package to create visualizations of PyTorch execution graphs

Google CTF

Predict python's random module generated values.

Predict and Backtrack MT19937 PRNG by putting 32 * 624 bits generated numbers. Python "random" standard library uses mt19937, so we can easily crack it.

An implementation of the gzip algo, with the aim of explaining how it can be used as a text classifier.

PyInstaller Extractor

整理一些书籍 ~

NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)

Code for OrthDNNs: Orthogonal Deep Neural Networks

a simple demo to implement a deep learning frame based on static graph

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

Flexible audio loudness meter in Python with implementation of ITU-R BS.1770-4 loudness algorithm

Allows you to dim your desktop if its a bit to bright.

A pupil in the computer world.(Felix Fu)

Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT