erendn / pytorch-compression-for-mcuLinks
Deep Compression for PyTorch Model Deployment on Microcontrollers
☆19Updated 4 years ago
Alternatives and similar repositories for pytorch-compression-for-mcu
Users that are interested in pytorch-compression-for-mcu are comparing it to the libraries listed below
Sorting:
- ☆31Updated 5 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆87Updated 5 years ago
- Efficient neural network deployment for uC using pytorch model☆32Updated 5 years ago
- ☆238Updated 2 years ago
- Framework for automatically porting PyTorch neural networks to CMSIS-NN.☆29Updated 4 years ago
- Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices☆107Updated 2 weeks ago
- Lightweight C implementation of CNNs for Embedded Systems☆61Updated 2 years ago
- ☆29Updated 4 years ago
- Bring your AI to the Edge - Starting from building the ML model to the selection of the target platform to the optimization and implement…☆52Updated 2 years ago
- Converting a deep neural network to integer-only inference in native C via uniform quantization and the fixed-point representation.☆25Updated 3 years ago
- A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded pl…☆59Updated 2 weeks ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices☆62Updated 2 weeks ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target☆18Updated 5 years ago
- NEural Minimizer for pytOrch☆43Updated last year
- In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization awa…☆24Updated 4 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- The official, proof-of-concept C++ implementation of PocketNN.☆34Updated last year
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆45Updated 5 years ago
- Awesome Quantization Paper lists with Codes☆11Updated 4 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- TFLite model analyzer & memory optimizer☆129Updated last year
- ResNet Implementation, Training, and Inference Using LibTorch C++ API☆42Updated last year
- Official repository: Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrain…☆42Updated 2 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆26Updated last year
- This is an implementation of YOLO using LSQ network quantization method.☆23Updated 3 years ago
- Fast NPU-aware Neural Architecture Search☆22Updated 3 years ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago