Official pytorch implementation of "AlphaFlow: Understanding and Improving MeanFlow Models"

Materials for Probability Theory and Modelling

A python library for user-friendly forecasting and anomaly detection on time series.

Website for the textbook Mathematical Methods in Data Science (MMiDS) by Sebastien Roch

Resources for education in statistics and machine learning: from advanced undergraduate to research level

Long-range arena (LRA) experimets for paper

Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen

List of Science courses with video lectures

The first comprehensive Lean 4 formalization of statistical learning theory, featuring Gaussian Lipschitz concentration and Dudley's entropy integral-establishes a reusable foundation for formalizi…

A Minimal Implementation of a Flow Matching Inspired Training-Free Model for Probabilistic Forecasting

A Minimal Implementation of a Flow Matching Inspired Training-Free Model for Probabilistic Forecasting

Python codes for Introduction to Computational Stochastic PDE

Benchmarking library for generative models of Limit Order Book data (LOBSTER)

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Probabilistic Numerics in Python.

Assignments for CS146S: The Modern Software Dev (Stanford University Fall 2025)

Audio-to-Audio Schrodinger Bridges is a diffusion-based audio restoration model for bandwidth extension and inpainting.

"AI-Trader: 100% Fully-Automated Agent-Native Trading"

[ICLR 2025] Pyramidal Flow Matching for Efficient Video Generative Modeling

Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24

[ICLR 2026] Official implementation of JavisDiT and JavisDiT++ series.

Implement a reasoning LLM in PyTorch from scratch, step by step

Modern PyTorch implementation of World Models with interactive notebooks for the Car Racing environment. Features VAE vision model, MDN-RNN memory system, and CMA-ES controller with visualization t…

Implementation of Neurips 2023 Paper "Multi Time Scale World Models"

A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.

World Models Experiments

Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition