Which dirt bikes share the same plastics and can run the same graphics kit. 175 model years, 76 models, 11 brands. From an AI dirt bike graphics generator with an online editor.
- dataset
- dirt-bike
- motocross
- graphics-kit
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Which dirt bikes share the same plastics and can run the same graphics kit. 175 model years, 76 models, 11 brands. From an AI dirt bike graphics generator with an online editor.
Functional domain models with event sourcing in Elixir
Uncensored AI models from RouterHub — the website for one-key API access to Claude, GPT, Gemini, Grok, DeepSeek, GLM and Qwen, with uncensored and abliterated variants where available. OpenAI- and Anthropic-compatible. Pay per token.
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
The fastest 🚀 way to embed a 3D model in Swift
This package provides a framework for writing validations for Go applications.
Falcon.js adds structure to knockout.js by incorporting models, collections, and views. It's setup to make developing single-page web applications a breeze.
an R package that automates performance testing of ML models and summarizes the results in a dashboard w/ rad visualizations
Data anonymization for your Ecto models !
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and deploy Machine Learning models with the Pascal Delphi
Address book for computer vision models.
Deploy machine learning models in Ruby (and Rails)
Rails tagging system that stores tags in a PostgreSQL array column or an SQLite JSON column – no join tables, no extra models, no N+1 queries.
GPTModels - a multi model, window based LLM AI plugin for neovim, with an emphasis on stability and clean code
Translate offline using Firefox Translation Models
Ruby Scoring API for PMML
A package to simulate, filter, and estimate DSGE models with occasionally binding constraints
A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.
Gets you a JSON Schema from PostgreSQL or SQLite3. Also supports arrays and default values. Use it for introspection or preparing your domain models like with Rails's Active Record.
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
Parse iOS mobile provisioning files into Swift models
Model Query Language (mql) is a query language for your database models.
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Tree structure & hierarchy for ecto models