yaysummeriscoming / BinaryNet_and_XNORNetLinks
Keras implementations of BinaryNet and XNORNet
☆55Updated 7 years ago
Alternatives and similar repositories for BinaryNet_and_XNORNet
Users that are interested in BinaryNet_and_XNORNet are comparing it to the libraries listed below
Sorting:
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Updated 7 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- BNN implementation in tensorflow☆166Updated 7 years ago
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆57Updated 7 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
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ☆62Updated 7 years ago
- Tutorials on Quantized Neural Network using Tensorflow Lite☆87Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 3 years ago
- This code implements NICE papper☆20Updated 7 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆154Updated 8 years ago
- This is a collection of works on neural networks and neural accelerators.☆41Updated 6 years ago
- LCNN: Lookup-based Convolutional Neural Network☆52Updated 8 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 3 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- ☆214Updated 6 years ago
- Pretrained VGG16 neural net in C language☆50Updated 3 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆106Updated 6 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆112Updated 5 years ago
- PyTorch Implementation of XNOR-Net☆495Updated 2 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- ☆52Updated 6 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- implementation of Iterative Pruning for Deep neural network [Han2015].☆40Updated 7 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Updated 8 years ago
- Caffe implementation of accurate low-precision neural networks☆118Updated 7 years ago
- Ternary Weights and Activations☆24Updated 7 years ago