tensorflow / tflite-supportLinks
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
☆408Updated 2 months ago
Alternatives and similar repositories for tflite-support
Users that are interested in tflite-support are comparing it to the libraries listed below
Sorting:
- A performant and modular runtime for TensorFlow☆759Updated 2 months ago
- A profiling and performance analysis tool for machine learning☆393Updated this week
- Supporting PyTorch models with the Google AI Edge TFLite runtime.☆678Updated this week
- ☆312Updated 6 months ago
- LiteRT continues the legacy of TensorFlow Lite as the trusted, high-performance runtime for on-device AI. Now with LiteRT Next, we're exp…☆595Updated this week
- Conversion of PyTorch Models into TFLite☆382Updated 2 years ago
- ONNX Optimizer☆723Updated last week
- DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps☆411Updated last year
- Examples for using ONNX Runtime for model training.☆338Updated 8 months ago
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆393Updated last week
- Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI☆373Updated 2 years ago
- This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and…☆342Updated 2 years ago
- An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.☆1,309Updated 3 years ago
- This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.☆170Updated 2 years ago
- Convert TensorFlow Lite models (*.tflite) to ONNX.☆157Updated last year
- TFLite model analyzer & memory optimizer☆127Updated last year
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,051Updated this week
- ☆231Updated 2 years ago
- PyTorch to TensorFlow Lite converter☆183Updated 10 months ago
- ☆81Updated last year
- Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite.…☆268Updated 2 years ago
- ☆372Updated 3 weeks ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆101Updated 4 months ago
- Common utilities for ONNX converters☆272Updated 6 months ago
- Examples using TensorFlow Lite API to run inference on Coral devices☆186Updated 10 months ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆93Updated 8 months ago
- Convert ONNX model graph to Keras model format.☆201Updated last year
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.☆1,534Updated 4 months ago
- Tensorflow Backend for ONNX☆1,310Updated last year
- Benchmarking Neural Network Inference on Mobile Devices☆375Updated 2 years ago