Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.
Directory
AI & Machine Learning
AI and Machine Learning covers the tools, models, and services built around machine learning. Models and machine learning holds model hubs, playgrounds, and training resources. AI image generation collects text-to-image tools, editors, and prompt libraries, while audio and speech covers transcription, voice, and music generation. AI coding and development lists assistants, code review tools, and developer utilities, and AI agents and automation brings together workflow builders and task tools. AI data and analytics holds platforms for labelling, monitoring, and evaluating models. Many listings are open source projects rather than hosted services, so check what you get and what it costs before you depend on one. We do not independently test each tool, and a Shout shows member support rather than a quality score. Imported listings do not start with an assigned owner or price.
FAOSTAT applies AI to data analysis, extraction, visualization, or business intelligence.
Train custom concepts from input images with this simplified DreamBooth colab.
Making neural nets uncool again, focused on making deep learning more accessible.
FastAgency provides machine-learning models, research, training resources, or evaluation tools.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
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.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
Fast inference engine for whisper in C++ using CTranslate2.
A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.
Industrial Grade Federated Learning Framework.
Collection of patterns for experimenting with agents, llm pipelines, and ChainOfThoughtStrategy.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Feature store for machine learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
FeatherCNN is a high performance inference engine for convolutional neural networks.
An enterprise-grade, high performance feature store.
Feature engineering package with SKlearn like functionality.
Feature Stores for ML provides machine-learning models, research, training resources, or evaluation tools.
Featured GPTs provides conversational AI for questions, tasks, and general assistance.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Python library for automated feature engineering.