MatthieuCourbariaux / BinaryConnectLinks
Training Deep Neural Networks with binary weights during propagations
☆381Updated 9 years ago
Alternatives and similar repositories for BinaryConnect
Users that are interested in BinaryConnect are comparing it to the libraries listed below
Sorting:
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆307Updated 4 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆1,063Updated 7 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆154Updated 8 years ago
- Implementation for Trained Ternary Network.☆108Updated 9 years ago
- (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆351Updated 6 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 9 years ago
- ☆404Updated 6 years ago
- Caffe for Sparse and Low-rank Deep Neural Networks☆382Updated 5 years ago
- BNN implementation in tensorflow☆165Updated 7 years ago
- Deep Compression on AlexNet☆673Updated 3 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆289Updated 6 years ago
- ImageNet classification using binary Convolutional Neural Networks☆866Updated 8 years ago
- An efficient framework for convolutional neural networks☆278Updated 2 years ago
- TensorNet (TensorFlow implementation)☆214Updated 8 years ago
- Implementation of "Iterative pruning" on TensorFlow☆160Updated 4 years ago
- Caffe implementation for dynamic network surgery.☆188Updated 8 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆80Updated 9 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- Caffe Implementation for Incremental network quantization☆191Updated 7 years ago
- Caffe implementation of accurate low-precision neural networks☆119Updated 7 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆147Updated 8 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆95Updated 7 years ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆565Updated last year
- PyTorch Implementation of XNOR-Net☆495Updated 2 years ago
- Reducing the size of convolutional neural networks☆112Updated 8 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Updated 8 years ago
- Binarized Dense and Conv2D layers for Keras☆17Updated 8 years ago
- Binarized Neural Network TF training code + C matrix / eval library.☆101Updated 8 years ago
- Spatially Adaptive Computation Time for Residual Networks☆248Updated 2 years ago