AI Agent Skills

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

A modular graph-based Retrieval-Augmented Generation (RAG) system

Visualizer for neural network, deep learning and machine learning models

An open-source RAG-based tool for chatting with your documents.

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

Low-code framework for building custom LLMs, neural networks, and other AI models

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Accessible large language models via k-bit quantization for PyTorch.

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Fit interpretable models. Explain blackbox machine learning.