Creates or edits images with generative models and visual controls.
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Lightly is a computer vision framework for self-supervised learning.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
DrivenData hosts data science competitions to build a better world, bringing predictive models to organizations tackling the world.
Generative AI: A Creative New World Sequoia Capital US/Europe provides machine-learning models, research, training resources, or evaluation tools.
Outline, draft, and revise your novel in one place, with editorial feedback and manuscript formatting built in. Free to start.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Lightweight, extensible data validation library for Python.
A lightweight framework for data analysis in JavaScript.
A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
A lightweight set of tools for loading and sharing data in data science projects.
A lightweight framework for building LLM-based agents.
Lightweight library to build and train neural networks in Theano.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Pretrain computer vision models on unlabeled data for industrial applications.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Supports software work with AI-assisted coding, testing or application development.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.