ColumbiaDVMM / TampLinks
☆9Updated 8 years ago
Alternatives and similar repositories for Tamp
Users that are interested in Tamp are comparing it to the libraries listed below
Sorting:
- ☆47Updated 5 years ago
- ☆30Updated 8 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- Deep learning with a multiplication budget☆47Updated 6 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 9 years ago
- Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"☆16Updated 7 years ago
- Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017☆31Updated 7 years ago
- ☆23Updated 9 years ago
- ☆38Updated 7 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆81Updated 9 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Updated 7 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆36Updated 5 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 10 years ago
- The latest version of Net-Trim which solves the actual constrained problem☆24Updated 5 years ago
- Fractional Max Pooling implementation in Theano☆21Updated 9 years ago
- Distilling knowledge to specialist ConvNets for clustered classification☆21Updated 9 years ago
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 7 years ago
- Code for LDLForests☆19Updated 6 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆94Updated 6 years ago
- LCNN: Lookup-based Convolutional Neural Network☆52Updated 7 years ago
- Unofficial fork of the Code used in the paper "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", NIPS 201…☆16Updated 8 years ago
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- ☆33Updated 6 years ago
- Implementation of GoogLeNet with lasagne and theano☆28Updated 9 years ago
- RNNprop☆36Updated 8 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 6 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- ☆57Updated 7 years ago
- ☆38Updated 8 years ago