Tflite Python Packages

optimum

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

tf2onnx

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

onnx2tf

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

tflite

Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/

deepbom

Local static analysis and evidence generation for deployed AI model artifacts

tflite2onnx

Convert TensorFlow Lite models (*.tflite) to ONNX.

visqol-python

A pure Python implementation of Google's ViSQOL (Virtual Speech Quality Objective Listener) for objective audio/speech quality assessment.

openvino2tensorflow

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

tensorflowasr

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

ultralytics-yolov5

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

dpdfnet

Clean up noisy speech in real time with DPDFNet - open-source streaming speech enhancement for research, audio apps, and edge devices. Includes pretrained models, PyTorch code, ONNX/TFLite inference, 8/16/48 kHz support, and live demos.

tflite2tensorflow

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

nobuco

Pytorch to Keras/Tensorflow/TFLite conversion made intuitive

tensorflowtts

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

tfhelper

Your friendly Tensorflow 2.x neighbor.

openvino2onnx

Convert ANY IR to ONNX format

fovux-mcp

Local-first YOLO workbench for edge AI: dataset inspection, training, evaluation, active learning, export, quantization, inference, and benchmarking via MCP, CLI, and a VS Code Studio.

mcufit

Check if an AI model fits on a microcontroller, before you flash it

yolov4

YOLOv4 Implemented in Tensorflow 2.

swiss-army-keras

A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection

onnxifier

Convert ANY IR to ONNX format

runlocal-hub

Python client for benchmarking and validating ML models on real devices via RunLocal API.

tfliteiorewriter

This tool displays tflite signatures and rewrites the input/output OP name to the name of the signature. There is no need to install TensorFlow or TFLite.

mira-ai

Reproducible waste-detection pipeline with YOLO11n, live inference, evaluation tooling and ONNX/TFLite export.