DingKe / BinaryNetLinks
Binarized Dense and Conv2D layers for Keras
☆17Updated 8 years ago
Alternatives and similar repositories for BinaryNet
Users that are interested in BinaryNet are comparing it to the libraries listed below
Sorting:
- Implementation of "Iterative pruning" on TensorFlow☆160Updated 4 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆154Updated 8 years ago
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- ☆62Updated 7 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆146Updated 8 years ago
- Low-rank convolutional neural networks☆98Updated 9 years ago
- BNN implementation in tensorflow☆166Updated 7 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Updated 8 years ago
- This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep …☆76Updated 8 years ago
- ☆22Updated 9 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 8 years ago
- ☆57Updated 7 years ago
- Training Deep Neural Networks with binary weights during propagations☆381Updated 9 years ago
- Theano implementation of XNOR-Net☆23Updated 8 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 5 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 7 years ago
- An experimental compression pipeline for TensorFlow.☆27Updated 9 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- An implementation of CNN visualization.☆98Updated 10 years ago
- started from Alex's code on google code☆43Updated 10 years ago
- Caffe implementation for dynamic network surgery.☆187Updated 8 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Caffe Implementation for Incremental network quantization☆191Updated 7 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆304Updated 3 years ago
- DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture☆113Updated 6 years ago
- Deep residual learning on CIFAR10 with TensorFlow☆63Updated 9 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆94Updated 7 years ago
- Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery☆33Updated 7 years ago