Popular GitHub Repositories for Graphite Backends

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

Effortlessly run LLM backends, APIs, frontends, and services with one command.

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Use ChatGPT (or other backends) to generate PPT automatically, all in one single file.

Terminal UI to chat with large language models (LLM) using different model backends, and integrations with your favourite editors!

Anomaly detection

PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.

TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.

The developer framework for building analytical backends on top of ClickHouse, Redpanda and other high-performance analytical infrastructure

Powerful Powerful Machine Learning library with GPU, CPU and WASM backends

A text-to-speech and speech-to-text server compatible with the OpenAI API, supporting Whisper, FunASR, Bark, and CosyVoice backends.

Code for unsupervised aspect extraction, using Keras and its Backends

A learning-focused, high-performance tensor computation library built from scratch in Rust, featuring automatic differentiation and CPU/CUDA backends.

A Python desktop application that enhances Excel and CSV files using AI transformations. Features dual AI backends (OpenAI API and local Ollama models), customizable prompt templates, batch processing, and an intuitive interface. Perfect for data cleaning, formatting, and analysis tasks with the power of large language models.

A framework for evaluating semantic search across custom datasets, metrics, and embedding backends.

Multi-agent workflows and complex Agent interactions, both via YAML manifest and programmatic usage. Pydantic-AI and LiteLLM backends. Human-in-the-loop integration.

A flexible and efficient implementation of Flash Attention 2.0 for JAX, supporting multiple backends (GPU/TPU/CPU) and platforms (Triton/Pallas/JAX).

AgentMake AI: a kit for developing agentic AI applications that support 14 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, cohere, custom, deepseek, genai, github, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

Ask AI from anywhere in Windows 10 and Windows 11. Configurable backends, OpenAI GPT 3.5 supported.