evgps / flopco-kerasLinks
FLOPs and other statistics COunter for tf.keras neural networks
☆30Updated 3 years ago
Alternatives and similar repositories for flopco-keras
Users that are interested in flopco-keras are comparing it to the libraries listed below
Sorting:
- FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)☆55Updated 2 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated last month
- A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).☆58Updated 2 years ago
- A walkthrough of how to prune keras models, using both weight-pruning and unit/neuron-pruning.☆30Updated 6 years ago
- Python library to work with the Visual Wake Words Dataset.☆39Updated 5 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆27Updated last year
- Tutorials on Quantized Neural Network using Tensorflow Lite☆87Updated 6 years ago
- Pruning and other network surgery for trained TF.Keras models.☆32Updated 5 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- TFLite model analyzer & memory optimizer☆132Updated last year
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆19Updated 4 years ago
- FLOPs and other statistics COunter for Pytorch neural networks☆23Updated 4 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- A curated list of binary neural network research papers and software packages.☆27Updated 5 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆102Updated 9 months ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage…☆74Updated 4 years ago
- This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.☆173Updated 2 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆72Updated 4 years ago
- Binarize convolutional neural networks using pytorch☆148Updated 3 years ago
- PyTorch Pruning Example☆50Updated 2 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- Band-limited Training and Inference for Convolutional Neural Networks☆20Updated 2 years ago
- ☆14Updated 6 years ago
- Efficient Deep Learning Survey Paper☆33Updated 2 years ago
- ☆16Updated 2 years ago
- Awesome Quantization Paper lists with Codes☆10Updated 4 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆106Updated 6 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 4 years ago