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134579's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

alphagen icon alphagen

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

alphazero_gomoku icon alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

amazingquant icon amazingquant

AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。

arctic icon arctic

High performance datastore for time series and tick data

asyncio icon asyncio

asyncio is a c++20 library to write concurrent code using the async/await syntax.

awesome-cpp icon awesome-cpp

A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

binlog icon binlog

A high performance C++ log library, producing structured binary logs

concurrencpp icon concurrencpp

Modern concurrency for C++. Tasks, executors, timers and C++20 coroutines to rule them all

concurrentqueue icon concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

cpp-rotor icon cpp-rotor

Event loop friendly C++ actor micro-framework, supervisable

cppcoro icon cppcoro

A library of C++ coroutine abstractions for the coroutines TS

crosssection icon crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

csprojtovs2017 icon csprojtovs2017

Tooling for converting pre 2017 project to the new Visual Studio 2017 format.

dali icon dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

dbutil icon dbutil

一个跨平台的轻量级数据库管理系统,提供了去重,更新,增删等数据库常用功能.

deedle icon deedle

Easy to use .NET library for data and time series manipulation and for scientific programming

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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