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actor-critic-with-stability-guarantee

adaptive-resource-provision-for-cloud

Online Bin Packing Algorithm Used for Cloud Resource Allocation

cloudsim-task-scheduling

extended algorithms for task scheduling

cluster-data

Borg cluster traces from Google

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

cz4013-distributed-system

Course Project

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deep_rl_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

deeprm-1

deeprm-tensorflow

毕业设计，用TensorFlow复现DeepRM

deeprm_conv

Based on Hongzi Mao's works of deeprm: https://github.com/hongzimao/deeprm

deeprm_reforement_learning

基于深度强化学习的资源调度研究

ell

Embedded Learning Library

fuzzydqn

Fuzzy DQN in Keras

google-api-java-client-samples

gs-spring-boot

Building an Application with Spring Boot :: Learn how to build an application with minimal configuration.

java

All Algorithms implemented in Java

java-algorithms-implementation

Algorithms and Data Structures implemented in Java

jobscheduling

Hansun eng project

linux

Linux kernel source tree

oauth-microservices

Security POC

pg_travel

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

sac-discrete.pytorch

A PyTorch implementation of SAC-Discrete.

scarl-implementation

scholar.py

A parser for Google Scholar, written in Python

time-series---deep-learning---state-of-the-art

Scientific time series and deep learning state of the art

time-series-forecasting

Recurrent Neural Network Implementations for Time Series Forecasting