Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-implicit-representations
A curated list of resources on implicit neural representations.
DAS
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
deep-galerkin-method
variational principle based deep learning for PDEs
DensityEstimation
pytorch-template
PyTorch deep learning projects made easy.
SISTThesis
LaTeX template for SIST of ShanghaiTech University
tensor-nets
function approximation by tensor decompositon and neural networks (in progress)
TheNumericsOfGANs
This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".
MJfadeaway's Repositories
MJfadeaway/DAS
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
MJfadeaway/DensityEstimation
MJfadeaway/pytorch-template
PyTorch deep learning projects made easy.
MJfadeaway/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
MJfadeaway/awesome-implicit-representations
A curated list of resources on implicit neural representations.
MJfadeaway/Cirq
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
MJfadeaway/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
MJfadeaway/bgflow
Boltzmann Generators and Normalizing Flows in PyTorch
MJfadeaway/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
MJfadeaway/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
MJfadeaway/Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
MJfadeaway/fenics-demo
MJfadeaway/HAZniCS-examples
Code for the numerical examples presented in "HAZniCS - Software Components for Multiphysics Problems" by A. Budisa, X. Hu, M. Kuchta, K.-A. Mardal and L. T. Zikatanov (2022).
MJfadeaway/ISONet
Repository for "Deep Isometric Learning for Visual Recognition"
MJfadeaway/lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
MJfadeaway/MD_LJP
An elementary MD simulation program written in python
MJfadeaway/MJfadeaway.github.io
Homepage
MJfadeaway/PDE-backward-solver
MJfadeaway/pde-surrogate
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
MJfadeaway/pennylane
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations
MJfadeaway/pinn_cavity
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
MJfadeaway/PSC_project
Course project for ID5130 Parallel Scientific Computing. Tensor Decomposition
MJfadeaway/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
MJfadeaway/quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
MJfadeaway/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
MJfadeaway/tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
MJfadeaway/torchTT
Tensor-Train decomposition in pytorch
MJfadeaway/Toy-MD
Python code for learning Molecular Dynamics simulations
MJfadeaway/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
MJfadeaway/TTDE