SonySemiconductorSolutions / mct-model-optimizationLinks
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.
☆407Updated 3 weeks ago
Alternatives and similar repositories for mct-model-optimization
Users that are interested in mct-model-optimization are comparing it to the libraries listed below
Sorting:
- A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…☆296Updated last year
- Conversion of PyTorch Models into TFLite☆389Updated 2 years ago
- TFLite model analyzer & memory optimizer☆129Updated last year
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆588Updated last year
- A parser, editor and profiler tool for ONNX models.☆446Updated last month
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- ☆332Updated last year
- ☆206Updated 3 years ago
- PyTorch Quantization Aware Training Example☆138Updated last year
- ☆153Updated 2 years ago
- Transform ONNX model to PyTorch representation☆338Updated 8 months ago
- Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.☆117Updated 3 months ago
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆34Updated 3 years ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆151Updated this week
- NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.☆209Updated last year
- 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
- Count number of parameters / MACs / FLOPS for ONNX models.☆93Updated 9 months ago
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,066Updated this week
- A code generator from ONNX to PyTorch code☆138Updated 2 years ago
- Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massiv…☆833Updated last week
- AI Edge Quantizer: flexible post training quantization for LiteRT models.☆54Updated last week
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- Pytorch to Keras/Tensorflow/TFLite conversion made intuitive☆317Updated 4 months ago
- ONNX Optimizer☆735Updated 2 weeks ago
- Convert ONNX models to PyTorch.☆691Updated 11 months ago
- Common utilities for ONNX converters☆275Updated 2 weeks ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆443Updated 2 years ago
- ☆22Updated last month
- Edge AI Model Development Tools☆66Updated last week
- A Toolkit to Help Optimize Large Onnx Model☆157Updated last year