RayshineRen's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PaddlePaddle/PARL
A high-performance distributed training framework for Reinforcement Learning
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要)
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
luwill/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
zhangxiann/PyTorch_Practice
这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书
ucla-rlcourse/RLexample
Some basic examples of playing with RL
patx/pickledb
pickleDB is an open source key-value store using Python's json module.
bubbliiiing/Siamese-pytorch
这是一个孪生神经网络(Siamese network)的库,可进行图片的相似性比较。
WillKoehrsen/ai-projects
Artificial Intelligence projects, documentation and code.
PredictiveIntelligenceLab/Physics-informed-DeepONets
ucla-rlcourse/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
wmn7/ML_Practice
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
HIT-Alibaba/HIT_Compiler_Experiment
哈工大编译原理实验
a1k12/characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
PredictiveIntelligenceLab/MultiscalePINNs
Raocp/PINN-elastodynamics
physics-informed neural network for elastodynamics problem
PredictiveIntelligenceLab/PINNsNTK
ehsankharazmi/hp-VPINNs
hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
PredictiveIntelligenceLab/Long-time-Integration-PI-DeepONets
Aguin/cuhkrlcourse-ierg6130
Unofficial Supplementary Materials for Reinforcement Learning Course at CUHK: textbooks, slides, related papers, assignment, code ...
pisceskkk/EX-PL0
PL/0 Compiler Extension(including repeat, for, case, function, real, record and so on)
jackeylu/Knights_Tour
A divide and conquer solution for Knight's Tour Problem
RayshineRen/AutoShop_
AutoShop
CupCupRay/IERG6130
RayshineRen/PDE
RayshineRen/Reinforement-Learning-from-Scratch