Pinned Repositories
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Dropout_Tutorial_in_PyTorch
Dropout as Regularization and Bayesian Approximation
dual-adp-suc
Code / data for the paper "A Dual Approximate Dynamic Programming Approach for Multi-stage Stochastic Unit Commitment" http://www.optimization-online.org/DB_HTML/2018/06/6672.html
hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
l2i
L2RPN_WCCI_a_Solution
Repository for L2RPN WCCI 2020 competition. One possible solution.
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
POMDP
Implementing a RL algorithm based upon a partially observable Markov decision process.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
coastline95's Repositories
coastline95/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
coastline95/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
coastline95/Dropout_Tutorial_in_PyTorch
Dropout as Regularization and Bayesian Approximation
coastline95/dual-adp-suc
Code / data for the paper "A Dual Approximate Dynamic Programming Approach for Multi-stage Stochastic Unit Commitment" http://www.optimization-online.org/DB_HTML/2018/06/6672.html
coastline95/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
coastline95/l2i
coastline95/L2RPN_WCCI_a_Solution
Repository for L2RPN WCCI 2020 competition. One possible solution.
coastline95/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
coastline95/POMDP
Implementing a RL algorithm based upon a partially observable Markov decision process.
coastline95/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
coastline95/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
coastline95/RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
coastline95/SDDiP
SDDiP implementation for a generation expansion planning model
coastline95/stock_predict_with_LSTM
Predict stock with LSTM supporting pytorch, keras and tensorflow
coastline95/uber-time-series
Bayesian time series prediction
coastline95/upgraded-succotash