Data Mining, Fruitful and Fun
Open source machine learning and data visualization.
Build data analysis workflows visually, with a large, diverse toolbox.
Get up and running with large language models, locally.
Run Llama 2 and other models on macOS. Customize and create your own.
NASA and IBM have teamed up to create an AI Foundation Model for Earth Observations, using large-scale satellite and remote sensing data, including the Harmonized Landsat and Sentinel-2 (HLS) data. By embracing the principles of open AI and open science, both organizations are actively contributing to the global mission of promoting knowledge sharing and accelerating innovations in addressing critical environmental challenges. With Hugging Face's platform, they simplify geospatial model training and deployment, making it accessible for open science users, startups, and enterprises on multi-cloud AI platforms like watsonx. Additionally, Hugging Face enables easy sharing of the pipelines of the model family, which our team calls Prithvi, within the community, fostering global collaboration and engagement.
AI image edition toolbox
Trace Pixels To Vectors in Full Color, Fully Automatically, Using AI.
Convert your JPEG and PNG bitmaps to SVG vectors quickly and easily. Fully Automatically. Using AI.
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
Unlike other APIs, it doesn't rely on proprietary providers such as Google or Azure to perform translations. Instead, its translation engine is powered by the open source Argos Translate library.
open-source geolocation.
Yachay is an open-source Machine Learning community. We have collected decades worth of useful natural language data from traditional media (i.e. New York Times articles), social media (i.e. Twitter & Reddit), messenger channels, tech blogs, GitHub profiles and issues, the dark web, and legal proceedings, as well as the decisions and publications of government regulators and legislators all across the world.
Segment Anything Model (SAM): a new AI model from Meta AI that can "cut out" any object, in any image, with a single click.
SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training.
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment.
Convert any music library into a music production sample-library with ML.
Polymath uses machine learning to convert any music library (e.g from Hard-Drive or YouTube) into a music production sample-library. The tool automatically separates songs into stems (beats, bass, etc.), quantizes them to the same tempo and beat-grid (e.g. 120bpm), analyzes musical structure (e.g. verse, chorus, etc.), key (e.g C4, E3, etc.) and other infos (timbre, loudness, etc.), and converts audio to midi. The result is a searchable sample library that streamlines the workflow for music producers, DJs, and ML audio developers.
Falcon LLM is a foundational large language model (LLM) with 40 billion parameters trained on one trillion tokens. TII has now released Falcon LLM – a 40B model.