edwin-de-jong / mnist-digits-stroke-sequence-data
The MNIST handwritten digit images transformed into a data set for sequence learning. This data set contains pen stroke sequences based on the original MNIST images.
☆41Updated 7 years ago
Alternatives and similar repositories for mnist-digits-stroke-sequence-data:
Users that are interested in mnist-digits-stroke-sequence-data are comparing it to the libraries listed below
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…☆43Updated 6 years ago
- Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆101Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- 📉 A collection of TensorBoard-related utilities (In Progress)☆37Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Cleaned original source code from my NIPS publication☆155Updated 7 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 3 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- ☆32Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 8 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)☆23Updated 7 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago