Compendium of over 50 benchmarks for evaluating AI agents, categorized into Function Calling & Tool Use, General Assistant & Reasoning, Coding & Software Engineering, and Computer Interaction.

💻 A curated list of papers and resources for multi-modal Graphical User Interface (GUI) agents.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

AgentScope: Agent-Oriented Programming for Building LLM Applications

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Production-ready platform for agentic workflow development.

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

A tool for evaluating LLMs

An Analytical Evaluation Board of Multi-turn LLM Agents [NeurIPS 2024 Oral]

The complete stack for AI Engineers: framework, runtime and control plane.

🦜🔗 The platform for reliable agents.

showing various ways to serve Keras based stable diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

Scrapes the Robinhood API to retrieve + store popularity and price data.

Models and examples built with TensorFlow

Learning to Rank in TensorFlow

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from …

A PyTorch implementation of Paragraph Vectors (doc2vec)

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks