A framework for serving and evaluating LLM routers - save LLM costs without compromising quality

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

A faster implementation of OpenCV-CUDA that uses OpenCV objects, and more!

A high-throughput and memory-efficient inference and serving engine for LLMs

Llama2 inference in one TypeScript file

Vim plugin for LLM-assisted code/text completion

Port of OpenAI's Whisper model in C/C++

Codebase for Aria - an Open Multimodal Native MoE

Learn how to design, develop, deploy and iterate on production-grade ML applications.

LLM101n: Let's build a Storyteller

⚡ Fastest way to serve open source ML models to millions

A demo application using fal.realtime and the lightning fast SDXL API provided by fal

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

LLM inference in C/C++

Framework for building and maintaining self-updating prompts for LLMs

Open-source search and retrieval database for AI applications.

The AgentForge project focuses on building general tooling to construct multicapability AI systems by composing skills and models together, and having intelligent processes use those skills/models.

Easy to maintain open source documentation websites.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …

Recoil is an experimental state management library for React apps. It provides several capabilities that are difficult to achieve with React alone, while being compatible with the newest features o…

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

GPT3 Chrome Extension Starter Kit

Query Engine for AI - The only MCP Server you'll ever need

Robust Speech Recognition via Large-Scale Weak Supervision

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.