Stars
HiDimStat: High-dimensional statistical inference tool for Python
PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)
[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"
A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.
Open source replication of Anthropic's Crosscoders for Model Diffing
[ICML 2024] Official implementation of Generative Conditional Distributions by Neural (Entropic) Optimal Transport
[ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models
Refine high-quality datasets and visual AI models
Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think - UAI 2022
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. It relies on a pytorch backend.
Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
The repository contains code for reproducing the numerical results in the paper "Derandomized Knockoffs: Leveraging E-values for False Discovery Rate Control".
Mattermost notifier for experiments on distant cluster
A framework for reproducible, comparable benchmarks
Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
Site web of the Mathematical Tours
Fast hyperparameter settings for non-smooth estimators:
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
pix2tex: Using a ViT to convert images of equations into LaTeX code.