thtrieu / essenceLinks
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
☆78Updated 5 years ago
Alternatives and similar repositories for essence
Users that are interested in essence are comparing it to the libraries listed below
Sorting:
- Track trending arXiv papers on Twitter from within your circle☆176Updated 9 years ago
- Future Gadget Machine☆68Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 6 years ago
- ☆69Updated 6 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated 2 years ago
- Utilities and monitors for machine learning experiments, web client included.☆149Updated 8 years ago
- TFStage: TensorFlow Project Scaffolding☆62Updated 5 years ago
- Quick and Dirty TensorFlow command framework to train and evaluate models and make inference☆55Updated 6 years ago
- Distributed Learning by Pair-Wise Averaging☆52Updated 8 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆110Updated 8 years ago
- A high-level framework for advanced deep learning with TensorFlow☆54Updated 8 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 9 years ago
- DrMAD☆107Updated 8 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 9 years ago
- Deep Learning over PyTorch☆62Updated 8 years ago
- A Python module for compiling PyTorch graphs to C☆92Updated 7 years ago
- ☆92Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- personal notes☆55Updated 8 years ago
- ☆53Updated 8 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- ☆113Updated 2 years ago
- Forward Thinking NIPS 2017☆107Updated 7 years ago
- Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382☆139Updated 5 years ago
- ☆114Updated last year
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 6 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 8 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 8 years ago
- Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'☆72Updated 9 years ago
- My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]☆70Updated 6 years ago