PINTO0309 / tflite2json2tfliteLinks
Convert tflite to JSON and make it editable in the IDE. It also converts the edited JSON back to tflite binary.
☆27Updated 2 years ago
Alternatives and similar repositories for tflite2json2tflite
Users that are interested in tflite2json2tflite are comparing it to the libraries listed below
Sorting:
- A very simple tool for situations where optimization with onnx-simplifier would exceed the Protocol Buffers upper file size limit of 2GB,…☆17Updated last year
- Exports the ONNX file to a JSON file and JSON dict.☆33Updated 2 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆102Updated 7 months ago
- A code generator from ONNX to PyTorch code☆139Updated 2 years ago
- Simple tool for partial optimization of ONNX. Further optimize some models that cannot be optimized with onnx-optimizer and onnxsim by se…☆19Updated last year
- Model compression for ONNX☆97Updated 9 months ago
- edge/mobile transformer based Vision DNN inference benchmark☆16Updated 7 months ago
- A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…☆297Updated last year
- A very simple tool that compresses the overall size of the ONNX model by aggregating duplicate constant values as much as possible.☆52Updated 2 years ago
- ☆25Updated 2 weeks ago
- Build TensorFlow Lite runtime with GitHub Actions☆25Updated last month
- Convert TensorFlow Lite models (*.tflite) to ONNX.☆162Updated last year
- AI Edge Quantizer: flexible post training quantization for LiteRT models.☆60Updated this week
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆411Updated last month
- Roughly calculate FLOPs of a tflite model☆39Updated 4 years ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆94Updated 10 months ago
- This tool displays tflite signatures and rewrites the input/output OP name to the name of the signature. There is no need to install Tens…☆10Updated last year
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- ONNX model visualizer☆88Updated 2 years ago
- Yocto layer for TensorFlow Lite interpreter with Python / C++.☆37Updated last week
- PyTorch Quantization Aware Training Example☆140Updated last year
- Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the cha…☆25Updated 4 months ago
- Scailable ONNX python tools☆97Updated 10 months ago
- A Toolkit to Help Optimize Large Onnx Model☆158Updated last year
- ☆13Updated 2 weeks ago
- ONNX Command-Line Toolbox☆35Updated 10 months ago
- YOLOX-ti-lite models exportable to TFLite☆21Updated 2 years ago
- ☆206Updated 3 years ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆155Updated 3 weeks ago
- Provide Docker build sequences of PyTorch for various environments.☆16Updated 4 years ago