MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. It includes tools for converting text to features, classifiers such as Naïve Bayes, Maximum Entropy and Decision Trees, sequence tagging with Hidden Markov Models and Conditional Random Fields, and sampling-based topic model implementations.
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Creates, rewrites or summarizes written content with language models.
MiMo Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
MiniMax AI helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Machine Learning Visualized is a book of Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first principles. Each notebook's output is a visualization of the algorithm during training, converging at its optimal weights. Chapters cover optimization, clustering and reduction, linear models and activation functions, and neural networks.
mlsysbook supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
MTEB Leaderboard is a Hugging Face Space hosted by the mteb organization. It displays a leaderboard ranking the performance of embedding models across a wide range of tasks, including retrieval and language evaluation. Users can select specific tasks or categories to view detailed model scores and compare performance between different embedding models.
The MXNet Clojure package brings GPU computing and deep learning to the Clojure programming language. It enables tensor and matrix computation with multiple GPUs in Clojure, and allows constructing and customizing deep learning models for tasks such as image classification and data science challenges.
NeverWrite is a local-first knowledge workspace for notes and documents with AI assistance. Notes stay in a folder on the computer, and every AI edit arrives as a reviewable change that can be accepted, rejected or refined before it is written to the vault. It is free, open source under Apache 2.0, requires no account, and connects to models the user already pays for.
Nixified packages AI executable code as self-contained Nix packages, including dependencies, and builds each project from source. Users can install and run the code with a single nix command on Linux distributions and on Windows through WSL. The project lists textgen and InvokeAI as packaged projects and offers GPU support for NVIDIA and AMD.
The Open VLM Leaderboard is an interactive Hugging Face Space that displays the Open VLM main leaderboard and individual dataset leaderboards. Users can filter results by evaluation dimensions, model size, model type and other related criteria.
A write-up on practical patterns for integrating large language models into systems and products, drawing on academic research, industry resources and practitioner know-how. It covers seven key patterns, including evals, RAG, fine-tuning, caching, guardrails, defensive UX and collecting user feedback.
PhotoGPT creates ecommerce images, product ads and marketing visuals with AI, generating lifestyle shots, AI models and listing assets. Tools include AI product photography, ad clone, product detail pages and virtual try on. The Starter plan is listed at $10 per month billed annually at $96 per year with 500 credits per month.
PocketPal AI is an open-source app for running language models directly on a device, available on iOS and Android. It supports GGUF models from Hugging Face, on-device processing, device benchmarking, conversation history and adjustable inference settings.
PrivateGPT is an open-source API layer that turns local models into production AI applications, following the Claude API model. It provides a messages API, file and artifact ingestion, retrieval with citations, embeddings and orchestration, and a built-in workbench UI for testing and demos.
promptoMANIA is an AI prompt hub, model directory, and toolset for AI image generation. It offers a visual prompt builder, expert guides, and resources for models including Midjourney, DALL·E, Stable Diffusion, FLUX, Ideogram, and Leonardo AI. The platform also provides specialized prompt guides for use cases such as logo design, portrait photography, landscape generation, product mockups, pattern creation, and typography.
Creates, rewrites or summarizes written content with language models.
Qwen Studio is the official platform from Qwen that provides unified access to the company's series of open-source and proprietary AI models. It offers functionality including chatbots, image and video understanding, image generation and editing, document processing, tool utilization, voice and video chat, and artifacts, and has a dedicated mobile application.
RedPajama-Data-v2 is a 30 trillion token open dataset from 84 CommonCrawl dumps across five languages, with over 40 precomputed quality annotations. Data processing scripts are open source on GitHub and all data are available on HuggingFace. The dataset is intended for further filtering and weighting of data, and the release notes describe it as an open dataset for training large language models.
SimpleBench is a multiple-choice text benchmark for LLMs with over 200 questions covering spatio-temporal reasoning, social intelligence and trick questions. Its report states a non-specialized human baseline of 83.7 percent from a small sample of nine participants.
Solar is a browser-based playground from Upstage Console that lets users test Solar LLM and Document AI tools. It supports features including AI chat, document parsing, OCR, and question answering over user-uploaded files.