edwin-de-jong / mnist-digits-stroke-sequence-dataLinks
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 8 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
Sorting:
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…☆44Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆81Updated 8 years ago
- PixelVAE with or without regularization☆68Updated 8 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 years ago
- Cleaned original source code from my NIPS publication☆158Updated 8 years ago
- 📉 A collection of TensorBoard-related utilities (In Progress)☆37Updated 3 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆121Updated 8 years ago
- ☆219Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆104Updated 7 years ago
- Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆103Updated 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
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Updated 8 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- ☆78Updated 10 years ago
- Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)☆23Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆239Updated 6 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- Implementation of ChoiceNet☆127Updated 7 years ago
- Implementation of Sequential Attend, Infer, Repeat (SQAIR)☆96Updated 6 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 5 years ago
- ☆39Updated 9 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Updated 8 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago