EywinSoong's repositories
PyTorch-Wavelet-Toolbox
Differentiable fast wavelet transforms in PyTorch with GPU support.
pytorch-kfac
Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing
leedl-tutorial
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
project-based-learning
Curated list of project-based tutorials
GNNPapers
Must-read papers on graph neural networks (GNN)
DeepOnet_gwf
Neural Operator for Groundwater Modeling
PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
PDEs-PINN-Examples-Using-Tensorflow2
Some examples of using PINN to solve PDEs numerically
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
PINNLearning
Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN
C-CppLearning
C语言与C++学习
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
approachingalmost
Approaching (Almost) Any Machine Learning Problem
MessagePassing_for_GNNs
Experiments with Message Passing GNNs in C++ and PyTorch.
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch-LBFGS
A PyTorch implementation of L-BFGS.
GNN-for-Combinatorial-Optimization
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
CPlusPlus
✔️最全面的 C++ 笔记 【黑马程序员】
NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
CS-Base
图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com
cs-self-learning
计算机自学指南
Python-100-Days
Python - 100天从新手到大师
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
PINN
Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations