liulion's repositories
auto-sklearn
Automated Machine Learning with scikit-learn
autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
blocks
A Theano framework for building and training neural networks
cvxportfolio
Portfolio optimization and simulation in Python
Deep-Trading
Algorithmic trading with deep learning experiments
MachineLearning
This project contain some machine learning algrithm demo.Maybe the code is also useful to you.
pyalgotrade-cn
pyalgotrade tailored for Chinese stock market
pylearn2
A Machine Learning library based on Theano
pysystemtrade
Systematic Trading in python
quantandfinancial
Automatically exported from code.google.com/p/quantandfinancial
Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
RNeat
RNeat - Neuroevolution of Augmenting Topologies (NEAT) - Genetic neural network evolution
rqalpha
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
streamlit-fastapi-model-serving
Simple web app example serving a PyTorch model using streamlit and FastAPI
Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Trading-Gym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
TuChart
Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individual stocks. Tuchart是一个基于pyqt和echarts的股票视觉化应用。Tuchart 支持日／月线，分笔，高频数据，前十股东分笔的视觉化