Stars
All Algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Graph Neural Network Library for PyTorch
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hydra is a framework for elegantly configuring complex applications
A Collection of Variational Autoencoders (VAE) in PyTorch.
A scikit-learn compatible neural network library that wraps PyTorch
PyTorch deep learning projects made easy.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
A highly efficient implementation of Gaussian Processes in PyTorch
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
High-Performance Symbolic Regression in Python and Julia
Code for visualizing the loss landscape of neural nets
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
On the Variance of the Adaptive Learning Rate and Beyond
A modular active learning framework for Python
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Schedule-Free Optimization in PyTorch
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Deep and online learning with spiking neural networks in Python
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
A 15TB Collection of Physics Simulation Datasets
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
😎 Curated list of awesome software for numerical analysis and scientific computing
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and…