Stars
Implementation of the proposed minGRU in Pytorch
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
Images to inference with no labeling (use foundation models to train supervised models).
A Rust crate for cooking up terminal user interfaces (TUIs) 👨🍳🐀 https://ratatui.rs
Build your own Raster dynamic map tile services
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Next generation guids. Secure, collision-resistant ids optimized for horizontal scaling and performance.
TensorDict is a pytorch dedicated tensor container.
Orbax provides common checkpointing and persistence utilities for JAX users
Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton
An extremely fast Python package and project manager, written in Rust.
Vision utilities for web interaction agents 👀
(ICCV'23) Learning to Upsample by Learning to Sample
A simple, performant and scalable Jax LLM!
A JAX research toolkit for building, editing, and visualizing neural networks.
Reaching LLaMA2 Performance with 0.1M Dollars
Practical Guide to Applied Conformal Prediction, published by Packt
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Universal Tensor Operations in Einstein-Inspired Notation for Python.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Fast Python implementation of KSUID (K-Sortable Globally Unique IDs) using Cython
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Simple creation of data classes from dictionaries.