GPT Mobile is an Android chat application that supports responses from multiple large language models simultaneously. It is a bring-your-own-API-key client that supports OpenAI, Anthropic, Google, and Ollama, and is built with Material3 and Compose.
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GPT Runner is a tool for managing AI presets and holding conversations with code files. It is available as a CLI, web page and VSCode extension, supports third-party LLMs, and stores data locally.
GPT-NeoX is EleutherAI's library for training large-scale language models on GPUs. It builds on NVIDIA's Megatron and adds DeepSpeed techniques plus optimizations. It supports launching via Slurm, MPI and the IBM Job Step Manager, and offers predefined configurations for architectures including Pythia, PaLM, Falcon and LLaMA 1 & 2. The repository states it is likely the wrong library for those not training models with billions of parameters from scratch.
The official GPT4Free repository, a collection of various powerful language models hosted on GitHub. The repository includes access to models such as opus 4.6, gpt 5.3, kimi 2.5, deepseek v3.2, and gemini 3, and accepts community contributions.
Creating semantic cache to store responses from LLM queries.
GPUStack is a GPU cluster manager built for high-performance AI model serving, with support for vLLM and SGLang, and offers on-demand SSH-accessible GPU instances, hosted in the gpustack/gpustack GitHub repository.
GPyTorch is a Gaussian process library implemented using PyTorch, designed for creating scalable, flexible, and modular Gaussian process models. It performs most inference operations using numerical linear algebra techniques such as preconditioned conjugate gradients, and provides GPU acceleration through matrix-vector-multiplication-based inference. Installation requires Python 3.10 or later, PyTorch 2.4.1 or later, and NumPy 2.0 or later.
Gradio is an open-source Python library that enables developers to build and share machine learning web applications easily. It provides simple interfaces for creating demos and sharing models, supporting a wide range of ML frameworks.
GreatCircle is a concise collection of classes for PHP, Python, JavaScript, Ruby, and Go that calculate great circle distance, bearing, and destination from geographic coordinates, hosted in the mwgg/GreatCircle GitHub repository.
GRT (Gesture Recognition Toolkit) is an open-source project hosted on GitHub. It provides core algorithms, extensions, and related utilities for gesture recognition, with documented architecture and core resources available in the repository.
Guild AI is the source repository for an open source toolkit that automates and optimizes machine learning experiments. It runs unmodified training scripts, captures each run result as a unique experiment, and automates trials using grid search, random search and Bayesian optimization.
PandasAI is an open-source library that enables conversational data analysis using large language models and retrieval-augmented generation. It allows users to interact with databases or datalakes supporting SQL, CSV, and parquet file formats.
Handwriting-OCR is a project that tries to create software for recognizing handwritten text from photos, including Czech language, using computer vision and machine learning. Recognition is divided into four steps, from page detection through word separation and normalization to character recognition. It is written in Python 3.6 with Jupyter Notebook, and the repository was archived by its owner.
A curated list of Large Language Model.
Harbor is a CLI and companion app that starts a pre-wired local LLM stack. Users pick services such as Ollama, llama.cpp, vLLM, Open WebUI, SearXNG, Speaches and ComfyUI, and Harbor handles Docker Compose orchestration, configuration and cross-service connectivity with a single harbor up command.
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. It provides modular pipelines and agent workflows with explicit control over retrieval, routing, memory and generation, and is intended for RAG systems, multimodal applications, semantic search, question answering and autonomous agents. Installation is available via pip.
Hera is a GitHub repository that enables training and evaluation of Keras models, with model metrics streamed to a browser-based dashboard. It includes setup steps for installing the spy component, starting the server, and launching the dashboard.
Framework for distributed hyperparameter optimization.
Making large AI models cheaper, faster and more accessible.
Library for hyperparameter optimization and black box optimization benchmarks.
Research-Digest is a Flask application that scrapes arXiv weekly for newly published papers in fields including computer vision and machine learning, then offers a summarization feature so users can grasp key points. Summarization uses a T5 model finetuned on scientific articles, with weights and tokenizers stored locally.
hwchase17/langchain is a GitHub repository for LangChain, an agent engineering platform. The repository hosts resources related to the LangChain ecosystem, including quickstart guides and documentation for users and developers working with the platform.
A framework for elegantly configuring complex applications.
Hydrosphere is a GitHub repository for an MLOps platform. The repository provides documentation for getting started with the platform, including installation instructions and guidance for deployment using Docker and Kubernetes.