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Published directory entries matching your search.
Intelligent Documentation Generator Agent is a Hugging Face Space that generates detailed documentation for Python code via pasting, uploading, or linking, and allows users to chat with the AI for code explanations and insights.
Interactive Scenes is an AI tool or resource for chat, research, automation, media generation, or model development.
InVideo is an AI video editing platform that offers Agent Two, an agentic video editor designed for creatives. It enables users to edit multiple shots simultaneously, describe edits in plain language without needing prompt engineering expertise, use multiplayer mode, access storyboarding and script writing tools, and build custom editing agents.
invisible_playwright is a Python package providing Playwright-compatible browser automation on an anti-detect Firefox patched at the C++ source level. It humanizes clicks, hover and drag actions in the driver. Supported platforms are Windows x86_64 and Linux x86_64/arm64; tracing, HAR, CDP and the API request context are out of scope.
Hong Jing (Jingles) is a data scientist and Alibaba PhD student who writes about machine learning and neuroscience. The site collects blog articles on topics such as reinforcement learning agents, learned optimizers, convolutional layers, transformer models and decoding brain signals.
The Journal of Artificial Intelligence Research (JAIR) is a journal dedicated to the rapid dissemination of important research results to the global AI community. Its scope encompasses all areas of AI, including agents and multi-agent systems, automated reasoning, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and uncertainty in AI.
Kaggle Benchmarks is a Kaggle feature that allows the AI research community to build, run, and share benchmarks for evaluating artificial intelligence models and agents. All benchmarks are crowdsourced by the global AI research community.
Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
Keras GPT Copilot is a Python package that integrates an LLM copilot within the Keras model development workflow, generating feedback from model configuration, optimizer details and experiment results. It interacts with OpenAI's GPT models and offers a prompt-only mode for compatibility with other large language models.
Respan is an AI gateway that routes requests to over 1,000 models through one API endpoint, with automatic fallbacks, response caching, and spending limits. It also provides built-in observability for tracing LLM calls, tool calls, and agent steps, plus automated evaluations and security testing for masking PII and red-teaming agents before launch.
Kiln AI is a platform and open-source library for building, evaluating, and optimizing AI systems. It offers tools for working with retrieval-augmented generation, AI agents, synthetic data, model fine-tuning, and prompt optimization, with a free downloadable application available for macOS, Windows, and Linux.
Kimi K2 is a large language model series developed by Moonshot AI. The repository includes model introductions, key features, model variants, summaries, and evaluation results. It is hosted on GitHub as an open-source project.
Latest Kimi model with stronger long-context coding and agent stability.
Kitaru is an open-source, self-hosted tool providing replay-based evaluations for AI agents. It records or imports production runs as sessions and replays them against a changed model, prompt, or code, with tool calls answered from the recording. It is available for Python and TypeScript and comes from the team behind ZenML.
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
KO MicroGPT is an AI chat or model resource for writing, coding, research, prompts, and assistant workflows.
Machine Learning Pipelines for Kubeflow.
L2MAC is an open-source framework described as a Large Language Model Automatic Computer. It uses a prompt-program with instruction steps executed by agents that read and write to persistent memory, intended for generating extensive outputs such as large codebases. It is released under the MIT license.
Laevitas provides crypto derivatives data and analytics across more than 15 exchanges and over 1,000 assets, covering options, perpetual and dated futures, and order books. It offers an options strategy builder, options backtesting and a spread analysis suite, plus programmatic access through a REST API, WebSocket and an MCP server for AI agents. Premium and Enterprise plans can be paid with USDC.
Lambdo is a workflow engine that unifies feature engineering and machine learning operations. In its workflows, nodes can be treated as features or predictions, and both can be trained. It uses column-oriented data processing and provides functions for time-series analysis and forecasting.
Laminar is an open-source observability platform purpose-built for AI agents. It provides OpenTelemetry-native tracing with a one-line SDK setup, plain-English signals that alert in Slack, and an SDK and CLI for running evals. It is written in Rust with 20x trace compression, and can be used via a managed platform or self-hosted with Docker Compose.
LangChain is an open agent engineering platform that enables organizations to own, control, govern, and compound their intelligence. Its LangSmith platform offers tools for autonomous agent improvement, observability, performance evaluation, production deployment, safe code execution sandboxes, LLM call control, and no-code agent creation. The platform also provides open source agent frameworks including deepagents, langgraph, and langchain.
Integrate with providers using LangChain Python.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
