Tflite Python Packages

optimum

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

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.

tf2onnx

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

tflite

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

tflite2onnx

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

tensorflowasr

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

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.

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.

yolov4

YOLOv4 Implemented in Tensorflow 2.

ultralytics-yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

onnxifier

Convert ANY IR to ONNX format

nobuco

Pytorch to Tensorflow conversion made intuitive

yolov5-inference

code de inference yolov5

openvino2onnx

Convert ANY IR to ONNX format

tfhelper

Your friendly Tensorflow 2.x neighbor.

tensorflowtts

TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for TensorFlow 2

dpdfnet

DPDFNet: causal single-channel speech enhancement that boosts DeepFilterNet2 with dual-path RNN blocks for stronger long-range temporal and cross-band modeling. Repo includes PyTorch implementation + checkpoints, ONNX & TFLite models with inference code, and a real-time demo.

wai-tfimageclass

Image classification using tensorflow.

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

wai-tflite-model-maker

tflite model maker command-line utilities.

tf2onnx-xzj

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

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.

fovea-mcp

Fovea — local-first, edge-AI computer-vision workbench. MCP server (Python) + VS Code extension covering the full YOLO lifecycle: dataset → train → eval → export → benchmark.

construe

An LLM inferencing benchmark tool focusing on device-specific latency and memory usage