louiskirsch / libmodularLinks
A library to use modular layers in any neural network
☆20Updated 7 years ago
Alternatives and similar repositories for libmodular
Users that are interested in libmodular are comparing it to the libraries listed below
Sorting:
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- Learning with latent language☆51Updated 4 years ago
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆29Updated 3 years ago
- ☆45Updated 6 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆69Updated 11 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 4 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- ☆32Updated 7 years ago
- TBA☆77Updated 6 years ago
- ☆28Updated 6 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆59Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 3 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 8 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆53Updated 8 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…☆44Updated 6 years ago
- Implementation of Sequential Attend, Infer, Repeat (SQAIR)☆96Updated 6 years ago