nhynes / emLinks
Tool for managing deep learning experiments
☆13Updated 7 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 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 7 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Learning RNN Hierarchies☆44Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 6 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Updated 6 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- ☆49Updated 7 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Updated 8 years ago
- ☆33Updated 3 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- TargetProp for RNNs☆27Updated 6 years ago
- Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591☆35Updated 7 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Research code need not be ugly.☆77Updated last year
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Berg - Run GPU-backed experiments on gcloud☆26Updated 6 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- ☆45Updated 5 years ago
- PixelVAE with or without regularization☆66Updated 8 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago