Stars
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
Machine Learning Engineering Open Book
Lipdp leverages Lipchitz constraints to train differentially private networks without clipping.
Lipschitz (LIP) constrained neural networks with Differential Privacy (DP) guarantees, for privacy & robustness.
Schedule-Free Optimization in PyTorch
LLM training code for Databricks foundation models
FFCV: Fast Forward Computer Vision (and other ML workloads!)