Search results

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A chat LLM based on the state-space model architecture.

A model-agnostic visual debugging tool for machine learning.

Small Language Model tailored for edge devices.

A platform for deploying and serving machine learning models.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.

Version and deploy your ML models following GitOps principles.

Open source MLOps platform that helps you collaborate, reproduce and share your ML work.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Framework that implements AutoML algorithms for model architecture search at scale.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).

Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).

Ncnn is a high-performance neural network inference framework optimized for the mobile platform.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Easy-to-use library to boost AI inference.

A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.

An Easy-to-Use and High-Performance AI deployment framework.

Neural networks framework in pure C: training and inference, no dependencies.