JordanFrecon

IOPaint

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

gdown

Google Drive Public File Downloader when Curl/Wget Fails

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

loss-landscape

Code for visualizing the loss landscape of neural nets

deepxde

A library for scientific machine learning and physics-informed learning

shittier

Shittier is an unconventional code formatting tool

pyminifier

Pyminifier is a Python code minifier, obfuscator, and compressor.

PhiFlow

A differentiable PDE solving framework for machine learning

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

kymatio

Wavelet scattering transforms in Python with GPU acceleration

rmview

A live viewer for reMarkable written in PyQt5

PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Neural-PDE-Solver

Hands-On-Data-Analysis-with-Pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

Data-Science-Resources

gradient-descent-the-ultimate-optimizer

Code for our NeurIPS 2022 paper

betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

pyscatwave

Fast Scattering Transform with CuPy/PyTorch

NeuralOperators.jl

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

numdifftools

Solve automatic numerical differentiation problems in one or more variables.

alpha-beta-CROWN

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)

attack-and-defense-methods

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

TensorDiffEq

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

dfa-scales-to-modern-deep-learning

Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.

biotorch

BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms

generative-scattering-networks

Neural_Heat

testing some neural network concepts (RNN, N-ODE, FNO) on a simple 2d heat transfert problem

labhc-malice.github.io