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Model framework for state-of-the-art ML models in text, vision, audio, and multimodal tasks.
Run LLMs locally in C/C++ with high performance
Run local LLMs on any device with GPT4All
High-throughput LLM inference engine for developers
Llama 2 inference code for running Llama models
Segment Anything Model for image/video segmentation with AI prompts
Open-source Grok-1 model for local inference with JAX
High-performance C/C++ port of OpenAI's Whisper for speech recognition
Self-hosted, open-source AI alternative to OpenAI with local LLM inference, no GPU required
TypeScript-first schema validation with static type inference
DeepSpeed optimizes deep learning training and inference with distributed computing techniques.
Ray is a unified framework for scaling AI and Python applications with distributed computing and ML libraries.
Colossal-AI optimizes large AI model training and inference with distributed computing and GPU acceleration.
Generates natural speech for dialogue scenarios
A collection of PyTorch image encoders/backbones with training, evaluation, and inference scripts.
Cross-platform ML framework for real-time media processing
1-bit LLM inference framework for CPU/GPU
Singing Voice Conversion framework using AI
Official FLUX.1 inference repo for image generation & editing
Detect secrets in git repos and files
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