Julia Programming for Machine Learning course at TU Berlin

Differentiable RANSAC: Learning Robust Line Fitting

machine learning course at ecole nationale des ponts et chaussees

Differentiable neural-network solver for data assimilation of ice shelves written in JAX

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

Curiosity driven exploration of your complex system 👀

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

A PyTorch native library for large model training

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

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

Official code for NeurIPS 2024 paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data

short julia and abm intro

In this project, we propose to study Vision Transformers trained using the Barlow Twins self-supervised method, and compare the results with DINO. We demonstrate the effectiveness of the Barlow Twi…

Minimal implementation of scalable rectified flow transformers, based on SD3's approach

Official implementation of "MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction".

Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting

A playbook for systematically maximizing the performance of deep learning models.

A latent text-to-image diffusion model

repo for ISBI 2024 "LightMyCells" challenge

Python package for deep learning based image to image transformation

Official repo for Recursion's accepted spotlight paper at NeurIPS 2023 Generative AI & Biology workshop.