soon-yau / QNNLinks
Tutorials on Quantized Neural Network using Tensorflow Lite
☆87Updated 6 years ago
Alternatives and similar repositories for QNN
Users that are interested in QNN are comparing it to the libraries listed below
Sorting:
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Updated 8 years ago
- Keras implementations of BinaryNet and XNORNet☆55Updated 8 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 6 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- This is a collection of works on neural networks and neural accelerators.☆41Updated 6 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆106Updated 7 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated last week
- Reducing the size of convolutional neural networks☆112Updated 8 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆158Updated last year
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ☆14Updated 5 years ago
- Python library to work with the Visual Wake Words Dataset.☆39Updated 5 years ago
- Reproduction of WAGE in PyTorch.☆44Updated 7 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Updated 3 years ago
- BNN implementation in tensorflow☆165Updated 7 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆232Updated 3 years ago
- Repository containing pruned models and related information☆38Updated 4 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆114Updated 4 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 6 years ago
- Jupyter notebook examples on image classification with quantized neural networks☆71Updated 5 years ago
- I'm going to use the Winograd’s minimal filtering algorithms to introduce a new class of fast algorithms for convolutional neural networks…☆12Updated 7 years ago
- ☆67Updated 6 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- Implementation of convolution layer in different flavors☆68Updated 8 years ago
- ☆213Updated 7 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Updated 5 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 6 years ago
- Lightweight C implementation of CNNs for Embedded Systems☆62Updated 2 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆99Updated 6 years ago