Stars
A platform for reproducible world model research and evaluation
🤖 Machine Learning Summer School Guide
Fast and memory-efficient exact attention
🪄 Interpreto is an interpretability toolbox for LLMs
Rmt is similar to the rm command but saves the deleted elements in the trash and restores them. Rmt is written in Rust 🦀
Muon is an optimizer for hidden layers in neural networks
JacobiNet is a Python library built on Keras that constructs the backward pass as a Keras model using the chain rule to compute Jacobians. It provides a clear, modular framework for understanding a…
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
Code for "How far can we go with ImageNet for Text-to-Image generation?" paper
👋 Overcomplete is a Vision-based SAE Toolbox
Extended LaTeX template for CVPR/ICCV papers
New implementations of old orthogonal layers unlock large scale training.
Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.
Implementation of Sparsemax activation in Pytorch
Code for our submission to the MICCAI surgvu24 challenge. We competed in category 2 (action detection)
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Code for continual pretraining of LUCIE
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
[CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation