Quant Examples Based on Backtrader.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

🔎 📈 🐍 💰 Backtest trading strategies in Python.

efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库，回测以及量化交易的好帮手！🚀🚀🚀

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

stock，股票系统。使用python进行开发。

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

BackTrader多因子回测框架 （Multi-factors backtesting framework for BackTrader）

TristouNet: Triplet Loss for Speaker Turn Embedding

Online streaming speaker change detection model in Pytorch

Python MQTT server, best performance for single machine. Based on tornado.

Headless WiFi configuration for the Raspberry Pi (or most other devices running Linux) by using a temporary WiFi access point and web interface

Bluetooth Python extension module

Recurrent neural network for audio noise reduction

Audio Denoising with Deep Network Priors

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…

SpeechBrain中文文档

A PyTorch-based Speech Toolkit

BeamformIt acoustic beamforming software

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

Python implementation of the spectral clustering algorithm

speaker diarization system using an LSTM

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.