Integrate multiple LLM API providers into VS Code's GitHub Copilot Chat using the Language Model API. Aggregates the latest free mainstream models, configurable in just a few steps! One-click use of your Claude Code, Gemini CLI, Antigravity, Github Copilot, Qwen Code, OpenAI CodeX (ChatGPT Plus/Pro) account quotas.

A repository for extra custom models for Upscayl.

Learn how to build an API that trains and generate photos featuring... you! Using FastAPI, Upstash, Replicate, Jupyter, and more

Prisma 2+ generator to emit custom models from your schema"

Azure IoT Operations with Edge AI in-a-Box

Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.

Leonardo AI is a versatile AI image generation platform with subscription plans from $12 to $60 per month, specializing in production-ready visual assets for game development, concept art, marketing, and creative design with unique fine-tuning capabilities. The platform offers text-to-image generation, image-to-image transformation, AI Canvas for i

🤖 AI GEN

🎙️ Transcribe audio efficiently with Parakeet Batch Transcriber, producing accurate, timestamped SRT files from long recordings like podcasts and lectures.

Custom Speech Note configuration with FP16 and q8_0 WhisperCpp models for improved speech-to-text accuracy.

Predicting housing prices with regression models and visual analytics. Includes preprocessing, custom pipelines, and visualized performance metrics.

Importing custom model into QML Quick3D and fixing its axes

A comprehensive, modular framework for fine-tuning Stable Diffusion 3.5 models using LoRA (Low-Rank Adaptation). Create custom AI image generators tailored to your artistic style, objects, or concepts with memory-efficient training on consumer GPUs.

Building Advanced Neural Networks with Tensorflow: A Deepdive

Open-source starter kit for isolated Codex Desktop apps for custom model providers on macOS and Linux, with provider bridges, custom icons, and local automations.

Models with variable output classes designed for CIFAR-100

Google Cloud AutoML enables developers with limited machine learning expertise to train high-quality custom models. It provides a suite of products for training custom ML models for translation, natural language, vision, video intelligence, and tabular data using transfer learning and neural architecture search.