Starred repositories
State-of-the-Art Source Code Plagiarism & Collusion Detection. Check for plagiarism in a set of programs.
Solution Manual for Computer Networking A Top-Down Approach, 7th Edition 计算机网络 自顶而下方法 第7版 复习题及习题答案
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Updated Feb 18, 2020
Material of Computer Networking: A Top-Down Approach, 7th ed. (By J.F. Kurose and K.W. Ross)
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
A list of DRL cloud management papers.
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
FinRL®: Financial Reinforcement Learning. 🔥
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.
Kubernetes Scheduler Simulator
Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.
Solving the 3D bin packing problem with reinforcement learning
real Transformer TeraFLOPS on various GPUs
Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Multi-Instance-GPU profiling tool
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Notes that I've taken over my Computer Systems and Software course at The University of Melbourne
Bootstrap Kubernetes the hard way. No scripts.
A quickstart and benchmark for pytorch distributed training.
[IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any interests, please visit/star/fork https://github.com/Youhe-Jiang…
High-performance stateful serverless runtime based on WebAssembly