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Signal processing examples in python
MSVC's implementation of the C++ Standard Library.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
A simplified blockchain implementation in Golang
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Terminal User Interfaces in Julia.
'컴퓨터 네트워킹: 하향식 접근(제8판)'을 읽고 공부하며 정리하는 저장소입니다.
Simple python connector to Binance Futures API
Polars extension for Ta-Lib: Support Ta-Lib functions in Polars expressions
Limit Order Book data analysis and modeling using LSTM network
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
An elegant PyTorch deep reinforcement learning library.
hi-ogawa / Stockfish
Forked from official-stockfish/Stockfishstockfish-nnue.wasm
Empowering everyone to build reliable and efficient software.
A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.
High-frequency statistical arbitrage
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Zerocopy makes zero-cost memory manipulation effortless. We write `unsafe` so you don’t have to.