clementfarabet / nnop
Parameter-free Neural Network primitives for torch/nn.
☆9Updated 8 years ago
Alternatives and similar repositories for nnop:
Users that are interested in nnop are comparing it to the libraries listed below
- Component Analysis using Torch7 (PCA, Whitened PCA, LDA, LPP, NPP, FastICA)☆29Updated 9 years ago
- VLFeat (partial) FFI wrapper for Torch7☆12Updated 8 years ago
- image encoder☆13Updated 8 years ago
- Nervana Neon kernels in Torch☆18Updated 9 years ago
- Recurrent modules for Torch☆27Updated 8 years ago
- lua apply function for cutorch☆17Updated 8 years ago
- DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch☆29Updated 8 years ago
- Torch Linear Unit with Orthogonal Weight Initialization☆19Updated 9 years ago
- Query complex neural network graph structures in Torch☆28Updated 8 years ago
- Convolutional network training using Torch☆18Updated 8 years ago
- [adversarial] examples and training cost☆19Updated 8 years ago
- Implementation of state-of-art models in Torch☆54Updated 8 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆91Updated 8 years ago
- ☆16Updated 8 years ago
- A Torch interface for pastalog - simple, realtime visualization of neural network training performance☆45Updated 8 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆43Updated 7 years ago
- Low precision Torch nn library using uint8_t GEMM (experiment)☆19Updated 8 years ago
- Recurrent Neural Network library for Torch7's nn☆19Updated 8 years ago
- ☆28Updated 8 years ago
- Torch version for https://github.com/google/deepdream☆53Updated 9 years ago
- Torch implementation of LSUV weight init from http://arxiv.org/abs/1511.06422☆21Updated 8 years ago
- Notes on how element-research rnn works☆17Updated 9 years ago
- Add layer-wise learning rate schemes to Torch☆47Updated 7 years ago
- State Of The Art deep neural network models☆37Updated 8 years ago
- ☆7Updated 9 years ago
- Unofficial Torch ECOS bindings to solve linear programs (LPs) and second-order cone programs (SOCPs).☆16Updated 8 years ago
- Fast-RCNN models in Torch-7 format☆18Updated 9 years ago
- ☆10Updated 8 years ago
- Load graphical Caffe networks in Torch☆26Updated 7 years ago
- ☆11Updated 8 years ago