Stars
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.
Next-generation full-text search library for Browser and Node.js
👇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)
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
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.
Vector (and Scalar) Quantization, in Pytorch
Training and serving large-scale neural networks with auto parallelization.
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