lizhengyang's repositories
rqalpha-strategy
Quantitative trading learning
2018_Summer_Program
This is the collection of research projects of Likelihood Tech 2018 Summer Program.
A3CSuperMario_Windows
SuperMario A3C Trainer for windows
Andrew-Ng-Deep-Learning-notes
吴恩达《深度学习》系列课程笔记及代码
Bayesian-Mixture-Models
EM algorithms for mixture models
Dynamic-Bayesian-Machine
Simple Markov Mixture Models
Forcecasting-Using-Kernel-Learning
kernel machine.
Greedy-Gaussian-Segmentation
Time Series Clustering
Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Keras_to_TF_NCS2
Keras to Tensorflow test for Neural Compute Stick 2
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
MachineLearningNotes
Techinical Reports for Implementation
Multi-task_Survival_Analysis
Multi-task survival analysis via regularized Cox regression
putting-tensorflow-models-to-production
Tutorial Materials for Putting Tensorflow Models To Production
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier and experimental methods.
PyTorch-LBFGS
A PyTorch implementation of L-BFGS.
Reinforcement-learning-in-portfolio-management-
This project implements three deep reinforcement learning algorithms, including PG (for finance), DDPG and PPO, on portfolio management
self_drive
基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
SurvivalAnalysisPython
Explorations of survival analysis in Python