Stars
A simple, modern and secure encryption tool (and Go library) with small explicit keys, no config options, and UNIX-style composability.
get things from one computer to another, safely
Restate is the platform for building resilient applications that tolerate all infrastructure faults w/o the need for a PhD.
Pure-Rust implementation of Fast Static Symbol Tables string compression
BAML is a language that helps you get structured data from LLMs, with the best DX possible. Works with all languages. Check out the promptfiddle.com playground
High-quality implementations of standard and SOTA methods on a variety of tasks.
An extensible, state-of-the-art columnar file format
Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
An extremely fast Python package and project manager, written in Rust.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
A JAX research toolkit for building, editing, and visualizing neural networks.
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
A distributed system for running WebSocket services at scale.
Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…
A stand-alone implementation of several NumPy dtype extensions used in machine learning.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Creative interactive views of any dataset.
The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"