LsNatan / NICE
This code implements NICE papper
☆20Updated 6 years ago
Alternatives and similar repositories for NICE:
Users that are interested in NICE are comparing it to the libraries listed below
- Implementation for Trained Ternary Network.☆108Updated 8 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Efficient forward propagation for BCNNs☆50Updated 7 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- Caffe implementation of accurate low-precision neural networks☆118Updated 6 years ago
- ☆63Updated 6 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- ☆45Updated 5 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- ☆13Updated 7 years ago
- ☆213Updated 6 years ago
- ☆66Updated 5 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 6 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆33Updated 5 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago
- Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.☆9Updated 6 years ago
- Caffe Implementation for Incremental network quantization☆191Updated 6 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆155Updated 7 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆241Updated 2 years ago
- Reducing the size of convolutional neural networks☆113Updated 7 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆166Updated 4 years ago
- Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery☆33Updated 6 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago
- Binary Weight Network and XNOR Network.☆63Updated 8 years ago
- Keras implementations of BinaryNet and XNORNet☆55Updated 7 years ago
- ☆55Updated 4 years ago