Pinned Repositories
--dcem-Pytorch
The Differentiable Cross-Entropy Method
autoreg-pde-diffusion
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
finitevolume-python
Finite Volume simulation of the Kelvin-Helmholtz Instability
GradientPathologiesPINNs
heat-pinn
A Physics-Informed Neural Network to solve 2D steady-state heat equation.
LearningToLearn
Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
My-awesome-PINN-papers
PIDOC
Physics-Informed Deep Operator Control (PIDOC), a deep learning method for controlling nonlinear chaos
xgxg1314's Repositories
xgxg1314/Adapting-Auxiliary-Losses-Using-Gradient-Similarity
Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
xgxg1314/advance-python
Python Advanced Tutorial.
xgxg1314/Awesome-Robotics-Academic-List
一份关于机器人领域的重要期刊、会议的简单汇总和评级
xgxg1314/Chaotic-Dynamics
CSCI 4446 Spring 17
xgxg1314/convLSTM
pytorch implemention of trajGRU.
xgxg1314/DeepHPMs
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
xgxg1314/deepxde
Deep learning library for solving differential equations
xgxg1314/Generalizedcellmapping
Global Characteristic Analysis of Dynamic System
xgxg1314/IHT-tutorial
This is a Jupyter Notebook that walks you through how to reconstruct an image using Iterative Hard Thresholding
xgxg1314/KSULasso
Random Lasso Senior Project
xgxg1314/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
xgxg1314/learning_airfoils
Repository to reproduce the experiments in the paper "Deep learning observables in computational fluid dynamics"
xgxg1314/Loss-Balanced-Task-Weighting
xgxg1314/Lyapunov-Exponents
3 Lyapunov Exponents of Lorenz63 system
xgxg1314/PCGrad
Code for "Gradient Surgery for Multi-Task Learning"
xgxg1314/Physics-Informed-Neural-Networks-for-Power-Systems
xgxg1314/reaction-diffusion
Some Python examples to obtain reaction-diffusion results and animations.
xgxg1314/Scientific-computing-paper
xgxg1314/shadowsocks
backup of https://github.com/shadowsocks/shadowsocks
xgxg1314/shadowsocks-windows
If you want to keep a secret, you must also hide it from yourself.
xgxg1314/SINDY-MPC
xgxg1314/SINDy_AIC
combination of sparse identification of nonlinear dynamics with Akaike information criteria
xgxg1314/SpectralBias
Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
xgxg1314/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
xgxg1314/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
xgxg1314/Variational-Inequality-GAN
This is the code associated with the paper A Variational Inequality Perspective for Generative Adversarial Networks.
xgxg1314/VSTG-MTL
Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)