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, ...)

Build and run agents you can see, understand and trust.

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.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without …

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]

Build, run, and manage agent platforms.

The agent engineering platform.

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