nhynes / emLinks
Tool for managing deep learning experiments
☆13Updated 8 years ago
Alternatives and similar repositories for em
Users that are interested in em are comparing it to the libraries listed below
Sorting:
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- ☆48Updated 7 years ago
- Learning RNN Hierarchies☆45Updated 9 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Updated 7 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 8 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 4 years ago
- Odds and Ends and Things I've implemented.☆78Updated 7 years ago
- ☆92Updated 8 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆35Updated 7 years ago
- ☆28Updated 6 years ago
- learning to search in pytorch☆110Updated 5 years ago
- a light weight experiment reproducibility toolset☆40Updated 5 years ago
- Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591☆35Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- Some extra features for pytorch.☆50Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- Analogs of Linguistic Structure in Deep Representations☆19Updated 8 years ago
- Research code need not be ugly.☆77Updated 2 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- ☆33Updated 4 years ago
- A very simple variant of adversarial training that yields excellent results on MNIST☆12Updated 9 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated 2 years ago