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Published directory entries matching your search.
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.
online demos provides machine-learning models, research, training resources, or evaluation tools.
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.
OpenModelDB is a community-driven database of AI upscaling models, intended as a way to find and compare models. It distributes pretrained model files and describes upscaling as increasing image or video resolution with machine learning.
Open source computer vision API based on open source models.
Our Vision for the Future of Synthetic Media by Victor Riparbelli Medium provides machine-learning models, research, training resources, or…
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Petals is a project for running large language models at home, BitTorrent-style. Users load part of a model and join a network of people serving its other parts. It supports generating text with Llama 3.1, Mixtral, Falcon and BLOOM and fine-tuning them on a consumer-grade GPU or Google Colab.
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.
Phrasly AI provides machine-learning models, research, training resources, or evaluation tools.
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.
A free course for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. It includes 9 lessons of around 90 minutes each, covering computer vision, natural language processing, tabular analysis, and collaborative filtering, plus building and training models, random forests, deployment, and use of PyTorch, fastai and Hugging Face.
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.
Proficient AI provides machine-learning models, research, training resources, or evaluation tools.
This is the official project page for the ICML 2024 research paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate' by MIT and Google Brain researchers. The paper introduces a multi-round debate approach where multiple language model instances propose answers, critique each other, and debate to improve reasoning and factual accuracy while reducing hallucinations.
This is a LlamaIndex developer documentation cookbook demonstrating the usage of Prometheus 2, an open-source language model specialized in evaluating other language models. Prometheus 2 was developed to address transparency, controllability, and affordability limitations of proprietary language model evaluators.
A guide to prompt engineering that collects papers, advanced prompting techniques, learning guides, model-specific guides, lectures, references, new LLM capabilities, and tools related to prompt engineering. It describes prompt engineering as a discipline for developing and optimizing prompts to use language models across applications and research topics, and offers courses on prompting and building AI agents.
Promptly provides machine-learning models, research, training resources, or evaluation tools.
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.
Questflow is described as an AI finance agent that lets users invest alongside top investors across markets. It supports selection among models such as GPT, Claude and Gemini, skills defining investment strategy, plugins for financial data, and accounts that connect exchanges, brokerages, wallets and tokens for analyzing positions and executing trades.
Creates, rewrites or summarizes written content with language models.
Qwen is a GitHub organization presenting Alibaba Cloud's general-purpose AI models, with 60 repositories. Public projects include Qwen3.8, a large language model series, Qwen3-VL, a multimodal large language model series, and qwen-code, an open-source AI coding agent that lives in a terminal.
