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Published directory entries matching your search.
The listing qwen3.6-max-preview points to Alibaba Cloud Model Studio's supported models overview page. The page states that Alibaba Cloud Model Studio offers Qwen and third-party models for text, image, audio, and video use cases, with model categories including text generation, image and video generation, audio and speech processing, and world models, along with specific example models for each category.
RankedAGI is a website that compares benchmarks across different AI models. It features benchmarks such as SWE Bench Verified, Codeforces, LMSYS and LiveBench, and presents a ranked table of models with size, version, release date, context length, cutoff knowledge, license and organization.
segmentation models is a software library that provides image segmentation models with pretrained backbones, designed for use with Keras and TensorFlow Keras frameworks. It is available as a public open source repository on GitHub.
segmentation models.pytorch is a library that offers semantic segmentation models paired with more than 500 pretrained convolutional and transformer-based backbones. It is maintained as an open source project on GitHub.
Apache SINGA is an Apache Top Level Project focused on distributed training of deep learning and machine learning models. It supports data parallel training across multiple GPUs on a single node or across different nodes, automatic gradient calculation, and loading and saving ONNX format models. Models trained with SINGA can be queried as stored procedures in an RDBMS.
The Dark Risk of Large Language Models WIRED UK provides machine-learning models, research, training resources, or evaluation tools.
The FLUX.1 family of models on Replicate is a collection of Black Forest Labs' FLUX AI models for image generation and editing. Users can run the models with one line of code, fine-tune them with custom data, and edit images using Flux Fill, Depth, and Canny tools. The collection includes multiple FLUX model variants suited for different use cases.
Unsloth Studio is an open-source, no-code web UI for training, running and exporting open models in one local interface. It supports GGUF, MLX and diffusion image/video models on Mac, Windows and Linux, and runs AI models offline without a GPU. A graphical Data Recipes workflow creates synthetic datasets from uploaded files.
A site for browsing AI voice models for RVC. It lists 30,000+ voice models covering characters, singers and creators, allows previewing samples, and supports running compatible voices online with EasyAIVoice.
A web tool for choosing an AI model that fits a given GPU. Users select a GPU or enter VRAM, then check compatibility by VRAM, bandwidth, and context size. Minimum context window, tokens per second, and required features can be set, and optional system RAM enables offloading to extend context windows or run larger models at reduced speed.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
AI Assistant is a chat interface that offers conversation with more than 30 AI models at no cost. The listed models include Ministral, Mixtral, Mistral, Pixtral, Codestral, Llama, DeepSeek, GLM, Qwen, GPT OSS, Phi, Kimi and Minimax variants. The page also refers to generating images.
AI Models Catalog is a structured YAML catalog of AI model providers and their models, sourced from first-party APIs and official documentation. It includes TypeScript type definitions and Zod runtime validation schemas, plus scripts to sync data from providers and validate YAML files against schemas.
AI-Flow is an open source, user-friendly UI application for creating workflows with different AI models. It lets users chain models from OpenAI, Replicate, Anthropic and others to automate content creation pipelines, and workflows can be shared as apps. Users may supply their own API keys or use platform credits.
Ai2 Playground provides machine-learning models, research, training resources, or evaluation tools.
AIF360, or AI Fairness 360, is a comprehensive toolkit that provides fairness metrics for datasets and machine learning models. It includes explanations for these metrics and algorithms to mitigate bias in data and models. The project is developed by the Trusted-AI community on GitHub.
AIFreeForever is a free online text-to-image generation tool that does not require user sign-up or login. It offers unlimited image generation without watermarks, and provides access to over 20 top AI image models including Nano Banana 2, Imagen 4, Flux 2 Pro, and other leading models. Users can generate images from text prompts, adjust output size, select models, and upscale results.
Audio diffusion library for PyTorch that includes models for unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The models are waveform-based, and the U-Net, DiffusionModel, diffusion method, and samplers are customizable for other formats. No pre-trained models are provided.
A community-driven archive of models and files from CivitAI, formerly named CivitAI Archive. It offers search, verification and tracking of AI models using SHA256 hashing across CivitAI, HuggingFace, TensorArt, SeaArt, PixAI and other platforms and torrents.
Artificial Analysis provides comparison and analysis of AI models and API hosting providers. It offers independent benchmarks across performance metrics including quality, price, output speed and latency, along with an intelligence index and cost-per-task measures.
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
Awesome-Code-LLM is a curated list of code large language models for research, covering top code LLMs, evaluation toolkits, leaderboards and related papers. It also lists evaluation frameworks for autoregressive code generation models and a secure sandbox for judging generated code.
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
Can I Run AI Locally detects a user's GPU or Mac and ranks open models that fit, covering LLMs, coding, image and video models. It reports VRAM requirements, speed estimates and grades for the device.
