google-ai-edge / LiteRTLinks
LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
☆1,035Updated this week
Alternatives and similar repositories for LiteRT
Users that are interested in LiteRT are comparing it to the libraries listed below
Sorting:
- Supporting PyTorch models with the Google AI Edge TFLite runtime.☆855Updated this week
- The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.)…☆849Updated 2 weeks ago
- The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) a…☆345Updated this week
- ☆509Updated this week
- Generative AI extensions for onnxruntime☆901Updated this week
- On-device AI across mobile, embedded and edge for PyTorch☆3,634Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆381Updated this week
- TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.☆429Updated this week
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆430Updated this week
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,184Updated last week
- AI Edge Quantizer: flexible post training quantization for LiteRT models.☆81Updated 2 weeks ago
- 🤗 Optimum ExecuTorch☆87Updated last week
- This repository is a read-only mirror of https://gitlab.arm.com/kleidi/kleidiai☆101Updated last week
- Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massiv…☆889Updated last week
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆412Updated this week
- Awesome Mobile LLMs☆276Updated last week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆515Updated this week
- ☆168Updated 3 weeks ago
- Inference Vision Transformer (ViT) in plain C/C++ with ggml☆300Updated last year
- A modern model graph visualizer and debugger☆1,342Updated this week
- Open Neural Network Exchange to C compiler.☆338Updated last week
- A Toolkit to Help Optimize Onnx Model☆256Updated last week
- ☆161Updated 2 weeks ago
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆427Updated this week
- Intel® NPU Acceleration Library☆697Updated 7 months ago
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆624Updated last year
- The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment☆560Updated last week
- An open source light-weight and high performance inference framework for Hailo devices☆143Updated 3 weeks ago
- Use safetensors with ONNX 🤗☆76Updated 2 months ago
- A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresse…☆1,605Updated this week