g1910 / HyperNetworksLinks
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
☆276Updated 4 years ago
Alternatives and similar repositories for HyperNetworks
Users that are interested in HyperNetworks are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆214Updated 7 years ago
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆202Updated 3 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆205Updated 7 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆92Updated 7 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder☆40Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Updated 5 years ago
- Mutual Information Neural Estimation in Pytorch☆346Updated last year
- Crawl & visualize ICLR papers and reviews.☆107Updated 3 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆248Updated last year
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆387Updated 4 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆281Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆170Updated 3 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆119Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- ☆157Updated 5 years ago
- This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation,…☆95Updated 2 years ago
- Learning deep representations by mutual information estimation and maximization☆322Updated 6 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆88Updated 3 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆116Updated 6 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆81Updated 2 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 4 years ago