musyoku / self-normalizing-networksLinks
Chainer implementation of Self-Normalizing Networks (SNN)
☆25Updated 8 years ago
Alternatives and similar repositories for self-normalizing-networks
Users that are interested in self-normalizing-networks are comparing it to the libraries listed below
Sorting:
- Quick and Dirty TensorFlow command framework to train and evaluate models and make inference☆55Updated 6 years ago
- ☆69Updated 6 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- Universal library for deep reinforcement learning.☆38Updated 9 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆43Updated 8 years ago
- random pytorch hacks☆26Updated 8 years ago
- ☆92Updated 8 years ago
- Contextual RNN-GANs for Abstract Reasoning Diagram Generation☆30Updated 7 years ago
- ☆59Updated 9 years ago
- Learning RNN Hierarchies☆45Updated 9 years ago
- Unsupervised learning of visual concepts from video☆56Updated 9 years ago
- A curated list of awesome hyperparameters for deep learning☆78Updated 7 years ago
- ☆56Updated 9 years ago
- ☆31Updated 8 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated last year
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 9 years ago
- RNNprop☆36Updated 8 years ago
- DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch☆29Updated 9 years ago
- Implementation of a simple example of Q learning in Torch.☆51Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- A high-level framework for advanced deep learning with TensorFlow☆54Updated 8 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 7 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- Track trending arXiv papers on Twitter from within your circle☆175Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated 2 years ago
- Malmo Collaborative AI Challenge - Team Pig Catcher☆65Updated 8 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆110Updated 8 years ago