nrasadi / split-keras-tensorflow-modelLinks
Splits Keras with Tensorflow backends into two or more submodels.
☆18Updated 2 years ago
Alternatives and similar repositories for split-keras-tensorflow-model
Users that are interested in split-keras-tensorflow-model are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆158Updated last year
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆364Updated last year
- Reference implementations of popular Binarized Neural Networks☆109Updated last week
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- Binarize convolutional neural networks using pytorch☆149Updated 3 years ago
- TFLite model analyzer & memory optimizer☆135Updated 2 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆82Updated 5 years ago
- ☆134Updated 2 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆114Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆283Updated last year
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆402Updated 4 years ago
- Low Precision Arithmetic Simulation in PyTorch☆291Updated last year
- Quantization of Convolutional Neural networks.☆250Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated 2 years ago
- Python library to work with the Visual Wake Words Dataset.☆39Updated 5 years ago
- An Open-Source Library for Training Binarized Neural Networks☆726Updated last year
- Tutorials on Quantized Neural Network using Tensorflow Lite☆87Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆449Updated 2 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆64Updated last year
- papers about model compression☆166Updated 2 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆159Updated 4 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆103Updated last year
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 3 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆90Updated 3 years ago
- This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…☆187Updated 2 years ago
- PyTorch Implementation of XNOR-Net☆495Updated 2 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆99Updated 6 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Updated 5 years ago
- ☆28Updated 3 years ago
- Neural Architecture Search (NAS) papers with code☆160Updated 4 years ago