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An extremely fast Python package and project manager, written in Rust.
Renders Eta, EJS, Handlebars, Nunjucks, Pug, Twig templates "out of the box". Uses HTML template as entry point. Resolves source files of scripts, styles, images in HTML. Supports for Vue.
SDK for creating whiteboards and canvas experiences on the web.
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
MyPy Type Checking for NumPy/Jax/PyTorch Einsum Operations
Named tensors with first-class dimensions for PyTorch
Up to 200x Faster Dot Products and Similarity Metrics — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AV…
An awesome Python wrapper for an awesome Docker CLI!
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
ML pipeline orchestration and model deployments on Kubernetes.
A simple utility to create user-specified git commit hashes
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Emscripten: An LLVM-to-WebAssembly Compiler
CLU lets you write beautiful training loops in JAX.
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
A library to generate LaTeX expression from Python code.
A playbook for systematically maximizing the performance of deep learning models.
FocalNet / FocalNet-DINO
Forked from IDEA-Research/DINOThis repo contains the code and configuration files for reproducing object detection results of FocalNets with DINO