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Supporting PyTorch models with the Google AI Edge TFLite runtime.
The official Kotlin SDK for Model Context Protocol servers and clients. Maintained in collaboration with JetBrains
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Embeddings from sentence-transformers in Android! Supports all-MiniLM-L6-V2, bge-small-en, snowflake-arctic, model2vec models and more
RooCodeInc / Roo-Code
Forked from cline/clineRoo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Cross-platform, customizable ML solutions for live and streaming media.
Color effects manager for Razer devices for macOS. Supports High Sierra (10.13) to Monterey (12.0). Made by the community, based on openrazer.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
This project is a plugin that supports ChatGPT running on JetBrains series IDE.
Hot is macOS menu bar application that displays the CPU speed limit due to thermal issues.
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
The official repo of Qwen2-Audio chat & pretrained large audio language model proposed by Alibaba Cloud.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
HunyuanVideo: A Systematic Framework For Large Video Generation Model
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.