Transformer: PyTorch Implementation of "Attention Is All You Need"

Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)

Control Systems

Practical assignments of the Deep|Bayes summer school 2019

Interactive Markov-chain Monte Carlo Javascript demos

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

"How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

Lightweight, useful implementation of conformal prediction on real data.

Probabilistic time series modeling in Python

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

⚡ InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)

RoNIN: Robust Neural Inertial Navigation in the Wild

The lack of benchmarking datasets for pedestrian stride length estimation makes it hard to pinpoint differences of published methods. Existing datasets either lack the ground-truth of each stride o…

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

An Intuitive Tutorial to Gaussian Processes Regression

FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

Implementation of Action Matching for the Schrödinger equation

TorchCFM: a Conditional Flow Matching library