A parallel ODE solver for PyTorch

Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".

Some Monte Carlo algorithms for the estimation of small probabilities associated with rare events

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

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

Library for computing with multidimensional functions

Tensor Network Learning with PyTorch

Code to reproduce the numerical experiments in "Approximation in the extended functional tensor train format" by C. Strössner, B. Sun and D. Kressner.

This repo contains code that implements vPET-ABC. Currently, we have included Python code attempting GPU acceleration on FDG compartment models.

A python framework for creating image-guided cancer patient digital twins.

Bayesian Modeling and Probabilistic Programming in Python

BAyesian Model-Building Interface (Bambi) in Python.

Python implementation of Monte Carlo error analysis a la Wolff.

Deep universal probabilistic programming with Python and PyTorch

RBniCS - reduced order modelling in FEniCS (legacy)

Make some beautiful corner plots

Tensor Train decomposition on TensorFlow

Grid-based approximation of partial differential equations in Julia

Generate API documentation with quarto

[BMVC2023] Widely Applicable Strong Baseline for Sports Ball Detection and Tracking

Sequential Monte Carlo in python

We write your reusable computer vision tools. 💜

Turn any computer or edge device into a command center for your computer vision projects.

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Official Implementation of CVPR24 highlight paper: Matching Anything by Segmenting Anything

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

Fast Segment Anything