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autodmp

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

circuit_training

circuitnet

CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

cplusplusthings

C++那些事

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

datc-rdf-metrics4ml

dbgraph

Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-practice

Practice of Deep Reinforcement Learning with Keras and gym.

eda-ai

Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design".

floorplan

github-work-in-vscode

It will show you how to use GitHub in VScode

graph

A library for creating generic graph data structures and modifying, analyzing, and visualizing them. 一款用于创建通用图数据结构、对其进行修改、分析和可视化的库。

hebo

Bayesian optimisation library developped by Huawei Noah's Ark Lab

huawei_shumo_lstm

2019华为杯A题

json-rpc

🔁 JSON-RPC 1/2 transport implementation. Supports python 2/3 and pypy.

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

macrorank

Official implementation of MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy (ASP-DAC 2023)

maskplace

mava

A library of multi-agent reinforcement learning components and systems

nemu

NJU EMUlator, a full system x86/mips32/riscv32/riscv64 emulator for teaching

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

rosettastone

dac data (def)

tritonfp

Merges all procedures in Task 8 of OpenROAD: Floorplanning+Powerplanning