xfunture

workflow

C++ Programming Paradigm with Asynchronous Networking

algotrading

Algorithmic trading framework for cryptocurrencies.

crypto-arbitrager

crypto asset arbitrage opportunity watcher, market maker, hedge and arbitrage

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Disease-Prediction-using-Django-and-machine-learning

**A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrences of disease on the basis of various symptoms. The user can select various symptoms and can find the diseases and consult to the doctor online.

FFP

Fast FIX (Financial Information Exchange) protocol parser [FFP]

FinNLP-Progress

NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.

gamma-ray

High frequency trading bot for crypto currencies

gpt_cchess

bert4keras实现gpt下**象棋

hummingbot

Hummingbot: a client for crypto market making

machine-learning-for-trading

Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading

machine-learning-for-trading-1

mlflow

Open source platform for the machine learning lifecycle

MTDNN

Multi-scale Two-way Deep Neural Network

polly

:wrench: Collection of CMake toolchain files and scripts for cross-platform build and CI testing (GCC, Visual Studio, iOS, Android, Clang analyzer, sanitizers etc.)

PumpDetector

Simple binance market "tracker"

py4at

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

quant-learning

:books: Quant 教程整理

quantstats

Portfolio analytics for quants, written in Python

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

surpriver

Find big moving stocks before they move using machine learning and anomaly detection

Tips-of-Feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

TradingEngine-Ultra-Low-Latency

A C++ ultra low latency trading engine with O(1) performance of order execution, order update, order cancel, O(log(n)) for order book analyses

TradingGym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

trendln

Support and Resistance Trend lines Calculator for Financial Analysis

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite