yinsenmiao Goto Github PK

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesmar

Bayesian Median Autoregressive model for time series forecasting

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.

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[email protected] 版权所有，违权必究 Tan 2018.06

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

drlnd

Udacity deep reinforcement learning nano degree

fcrimins.github.io

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

kaggle-web-traffic

1st place solution

lasio

Python library for reading and writing well data using Log ASCII Standard (LAS) files

lazzyquant

期货/期权量化交易系统

note-by-latex

《简单粗暴 LaTeX》源码 | A LaTeX handbook to help Chinese LaTeX learners.

pylob

Fully functioning fast Limit Order Book written in Python

ssm

Bayesian learning and inference for state space models

time_series_stateless

Time series forecasting using Stateless Neural Networks