sony / mct_quantizers
☆18Updated 2 weeks ago
Alternatives and similar repositories for mct_quantizers:
Users that are interested in mct_quantizers are comparing it to the libraries listed below
- AI Edge Quantizer: flexible post training quantization for LiteRT models.☆23Updated last month
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆348Updated this week
- A library to train and deploy quantised Deep Neural Networks☆21Updated last month
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆134Updated last week
- TFLite model analyzer & memory optimizer☆121Updated last year
- ☆19Updated 3 years ago
- Low Precision(quantized) Yolov5☆33Updated last year
- Neural Architecture Search for Neural Network Libraries☆58Updated last year
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- Converting a deep neural network to integer-only inference in native C via uniform quantization and the fixed-point representation.☆22Updated 3 years ago
- This repository contains the results and code for the MLPerf™ Tiny Inference v0.7 benchmark.☆15Updated last year
- Convert tflite to JSON and make it editable in the IDE. It also converts the edited JSON back to tflite binary.☆27Updated last year
- ☆132Updated last year
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆39Updated 4 years ago
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆18Updated 3 years ago
- Reference implementations of popular Binarized Neural Networks☆106Updated 3 weeks ago
- In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization awa…☆22Updated 3 years ago
- NEural Minimizer for pytOrch☆41Updated 6 months ago
- A code generator from ONNX to PyTorch code☆135Updated 2 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆32Updated last year
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆34Updated 2 years ago
- [ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition☆31Updated 3 years ago
- A tool to deploy Deep Neural Networks on PULP-based SoC's☆80Updated 10 months ago
- Repository for ONNX working group artifacts☆24Updated last week
- Snapdragon Neural Processing Engine (SNPE) SDKThe Snapdragon Neural Processing Engine (SNPE) is a Qualcomm Snapdragon software accelerate…☆33Updated 2 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆97Updated this week
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆78Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 8 months ago
- Floating-Point Optimized On-Device Learning Library for the PULP Platform.☆29Updated last month
- XLA integration of Open Neural Network Exchange (ONNX)☆19Updated 6 years ago