Jiangli Huang's repositories
LogicSynthesisProject2023
The logic synthesis project for Digital EDA course 2023
Cpp_Primer_Practice
C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
crawl-IEEE-article
A crawl to download IEEE papers
D-VAE
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
daily_fudan1
一键平安复旦小脚本，自动化快速上报疫情
Data-Structures-and-Algorithms
数据结构和算法必知必会的50个代码实现
DeepSpeed-_232.4.13
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DNN-MFBO
Multi-fidelity Bayesian Optimization via Deep Neural Nets
Error-Estimates-for-Domain-Decomposition
Adjoint based a posteriori error estimates for Schwarz domain decomposition
ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
HEBO
Bayesian optimisation library developped by Huawei Noah's Ark Library
MAGICAL
Machine Generated Analog IC Layout
Physical-Design-Algorithms-Implementation
Implementations of Algorithms in Physical Design
PRML-Solution-Manual
My Own Solution Manual of PRML
PRML_python
PRML algorithms implemented in Python
pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
PyTorch-LBFGS
A PyTorch implementation of L-BFGS.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Pytorch_examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
pytorch_geometric
Graph Neural Network Library for PyTorch
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Statistical-Learning-Method_pku
手写实现李航《统计学习方法》书中全部算法
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
uncertain_gps
Exploring how to to deal with uncertain inputs with gaussian process regression models.
UT-AnLay
Analog Placement Quality Prediction