Decorators/View-Models for Rails Applications
- decorators
- ruby
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Decorators/View-Models for Rails Applications
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Run Keras models in the browser, with GPU support using WebGL
A desktop coding agent with free access to frontier models.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
The Ruby AI framework.
Annotate Rails classes with schema and routes info
Official repository for the Boltz biomolecular interaction models
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Easy creation of slugs for your Eloquent models in Laravel
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Here you'll find a growing collection of 3D models, textures, and images from inside NASA.
A python library for self-supervised learning and latent world models on images.
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Fast, flexible and easy to use probabilistic modelling in Python.
Audited (formerly acts_as_audited) is an ORM extension that logs all changes to your Rails models.
Record the change log from models in Laravel
Verify is a snapshot testing tool that simplifies the assertion of complex data models and documents.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Python Toolkit for Causal and Probabilistic Reasoning
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Specialised AI models for logo design — a brand-analysis model turns a business into constraints, typography and symbol models construct the mark, and a composition engine produces real lockups and clear-space rules. Early access open.