Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

This repo contains code and a pre-trained model for clothes segmentation.

A python/pytorch package for invertible neural networks

All Algorithms implemented in Python

A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

code for "Residual Flows for Invertible Generative Modeling".

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Python library for using dplyr like syntax with pandas and SQL

Generate HTML5 slideshows from markdown, ReST, or textile

Python implementations of contextual bandits algorithms

FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Apparel detection using deep learning

An implementation of shampoo

🏀 Visualization of NBA games from raw SportVU data logs

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …