CAMEL is an open-source community and framework for studying multi-agent systems at scale. It implements and supports various agents, tasks, prompts, models and simulated environments, and describes design principles including evolvability, scalability, statefulness and code-as-prompt.
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Candle is a minimalist machine learning framework for Rust with a focus on performance, including GPU support, and ease of use. It provides examples and online browser demos for models such as whisper, LLaMA2, T5, yolo and Segment Anything.
The caret package provides a set of functions in R intended to streamline creating predictive models. Its tools cover data splitting, pre-processing, feature selection, model tuning using resampling and variable importance estimation, and it offers a uniform interface and standardized common tasks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Turns models into ML-friendly containers that run just about anywhere.
An opinion article by Dan McQuillan arguing that ChatGPT and similar large language models function as a "bullshit generator." It describes LLMs as predicting missing words statistically and producing confident assertions without understanding, and frames the technology as a continuation of class war.
ChatHelp is an AI-powered assistant platform for business, work, and study use cases. It offers over 100 AI tools, a free website chat widget for customer support, support for 175+ languages, integration with various applications, custom AI knowledge base creation, compatibility with multiple AI models including OpenAI ChatGPT, Anthropic Claude, and Google Gemini, and support for users to input their own AI API keys.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Cherry Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Chutes is a decentralized, serverless inference platform for open-source AI models. It lets developers deploy, run and scale models through an SDK and API, and covers modalities such as image, video, speech and music. Documentation describes building and deploying chutes and OpenAI-compatible API endpoints.
CLIP Interrogator 2 is a Hugging Face Space that analyzes uploaded images using a CLIP model. Users select a processing mode (best, classic, or fast) and the tool returns a text prompt describing the image to support recreation of similar artwork.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Cohere provides access to advanced Large Language Models and NLP tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Cog is an open-source tool that packages machine learning models in standard, production-ready containers. Users define the environment in a configuration file, and it generates a Docker image with Nvidia base images and dependency caching. Model inputs and outputs are defined in Python, from which Cog generates an OpenAPI schema and an HTTP inference server. Models can be deployed to own infrastructure or Replicate.
Cohere builds powerful AI models and enterprise AI solutions that enable organizations to automate processes, empower employees, and turn fragmented data into actionable insights. Its offerings are private, secure, and customizable for enterprise use.
Colab demo provides machine-learning models, research, training resources, or evaluation tools.
Colibri Core is an NLP tool and a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams, i.e. patterns with one or more gaps of fixed or dynamic size. It counts and extracts patterns from large corpus data. The central tool, colibri-patternmodeller, builds, views, manipulates and queries pattern models.
Creates, rewrites or summarizes written content with language models.
Track your datasets, code changes, experimentation history, and models.
ComicsMaker.ai provides machine-learning models, research, training resources, or evaluation tools.
Commit provides machine-learning models, research, training resources, or evaluation tools.