Pinned Repositories
ada-hessian
Easy-to-use AdaHessian optimizer (PyTorch)
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
C-CppLearning
C语言与C++学习
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CPlusPlus
✔️最全面的 C++ 笔记 【黑马程序员】
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
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
EvanSoong517's Repositories
EvanSoong517/cs-self-learning
计算机自学指南
EvanSoong517/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, ... 🧠
EvanSoong517/approachingalmost
Approaching (Almost) Any Machine Learning Problem
EvanSoong517/C-CppLearning
C语言与C++学习
EvanSoong517/CPlusPlus
✔️最全面的 C++ 笔记 【黑马程序员】
EvanSoong517/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
EvanSoong517/DeepOnet_gwf
Neural Operator for Groundwater Modeling
EvanSoong517/GNN-for-Combinatorial-Optimization
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
EvanSoong517/GNNPapers
Must-read papers on graph neural networks (GNN)
EvanSoong517/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
EvanSoong517/Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
EvanSoong517/leedl-tutorial
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
EvanSoong517/Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
EvanSoong517/MessagePassing_for_GNNs
Experiments with Message Passing GNNs in C++ and PyTorch.
EvanSoong517/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
EvanSoong517/PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
EvanSoong517/PDEs-PINN-Examples-Using-Tensorflow2
Some examples of using PINN to solve PDEs numerically
EvanSoong517/PINN
Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations
EvanSoong517/PINN_scratch
EvanSoong517/PINNLearning
Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN
EvanSoong517/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
EvanSoong517/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
EvanSoong517/project-based-learning
Curated list of project-based tutorials
EvanSoong517/Python-100-Days
Python - 100天从新手到大师
EvanSoong517/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
EvanSoong517/pytorch-kfac
Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
EvanSoong517/PyTorch-LBFGS
A PyTorch implementation of L-BFGS.
EvanSoong517/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
EvanSoong517/PyTorch-Wavelet-Toolbox
Differentiable fast wavelet transforms in PyTorch with GPU support.
EvanSoong517/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.