Stars
Source code for Twitter's Recommendation Algorithm
Source code for the X Recommendation Algorithm
A demo implementation of a clean architecture in Python.
A Python toolkit for applications driven by The Clean Architecture
Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
cryptozomebie lesson code
ERT - Ensemble based Reservoir Tool - is designed for running ensembles of dynamical models such as reservoir models, in order to do sensitivity analysis and data assimilation. ERT supports data as…
Materials for the Hugging Face Diffusion Models Course
Python implementation of the NeurIPS 2022 paper arXiv:2202.05621 about nonlinear MCMC using Jax.
[ICML2023] InfoOT: Information Maximizing Optimal Transport
A collection of resources and papers on Diffusion Models
A latent text-to-image diffusion model
This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network
PyTorch implementation of normalizing flow models
Python libraries for Optimal Transport of time series - examples from paper Sambridge, Jackson and Valentine (2022)
Implementation of Inexact Proximal point method for Optimal Transport
Spatio-temporal alignements: Optimal transport in space and time
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
functorch is JAX-like composable function transforms for PyTorch.
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch
A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.
Learning in infinite dimension with neural operators.
here you can find the material used for our Tutorials