EdgeAINexus
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LiteRT
LiteRT PublicForked from google-ai-edge/LiteRT
LiteRT is the new name for TensorFlow Lite (TFLite). While the name is new, it's still the same trusted, high-performance runtime for on-device AI, now with an expanded vision.
C++ 1
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ai-edge-torch
ai-edge-torch PublicForked from google-ai-edge/litert-torch
Supporting PyTorch models with the Google AI Edge TFLite runtime.
Jupyter Notebook 1
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mediapipe
mediapipe PublicForked from google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
C++ 1
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tao_tutorials
tao_tutorials PublicForked from NVIDIA-TAO/tao-tutorials
Quick start scripts and tutorial notebooks to get started with TAO Toolkit
Jupyter Notebook 1
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tao_deploy
tao_deploy PublicForked from NVIDIA-TAO/tao-deploy
Package for deploying deep learning models from TAO Toolkit
Python 1
Repositories
- ai-edge-torch Public Forked from google-ai-edge/litert-torch
Supporting PyTorch models with the Google AI Edge TFLite runtime.
- model_optimization-sony Public Forked from SonySemiconductorSolutions/mct-model-optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
- tflite-micro Public Forked from tensorflow/tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
- mediapipe Public Forked from google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
- LiteRT Public Forked from google-ai-edge/LiteRT
LiteRT is the new name for TensorFlow Lite (TFLite). While the name is new, it's still the same trusted, high-performance runtime for on-device AI, now with an expanded vision.
- tao_tensorflow2_backend Public Forked from NVIDIA/tao_tensorflow2_backend
TAO Toolkit deep learning networks with TensorFlow 2.x backend
- ai-edge-quantizer Public Forked from google-ai-edge/ai-edge-quantizer
AI Edge Quantizer: flexible post training quantization for LiteRT models.
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