Making large AI models cheaper, faster and more accessible

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

A completely customizable framework for building rich text editors. (Currently in beta.)

You like pytorch? You like micrograd? You love tinygrad! ❤️

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

A generative world for general-purpose robotics & embodied AI learning.

In-browser Markdown editor

Next-generation full-text search library for Browser and Node.js

Streaming replication for SQLite.

👇Bread n butter utility for component-tied mouse/touch gestures in React and Vanilla Javascript.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

💨 Fast, Async-ready, Openapi, type hints based framework for building APIs

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

The utility-first workflow you love from Tailwind CSS in your React Native applications.

The fastest way to create an HTML app

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Flagsmith is an open source feature flagging and remote config service. Self-host or use our hosted version at https://app.flagsmith.com.

Watch over things + stream your mac to remote server

Vector (and Scalar) Quantization, in Pytorch

React split-pane component

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

A modular RL library to fine-tune language models to human preferences

Mirage Persistent Kernel: Compiling LLMs into a MegaKernel

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

A meta-package for building a version of Python that can be embedded into a macOS, iOS, tvOS or watchOS project.

The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

A JavaScript library that breaks strings into their individual user-perceived characters.

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

Resizable Flex layout container components for advanced React web applications

Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)