KellerJordan / TriMap-PyTorch
Implementation of TriMap dimensionality reduction in PyTorch
☆16Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for TriMap-PyTorch
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 5 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 2 years ago
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 4 years ago
- Code for replication of the paper "GANs beyond divergence minimization"☆21Updated 5 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 3 years ago
- Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !☆21Updated 7 years ago
- Implementation for NATv2.☆23Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- Code repo for KDD'22 paper : 'RES: A Robust Framework for Guiding Visual Explanation'☆32Updated 2 years ago
- ☆12Updated 4 years ago
- A module for making weights initialization easier in pytorch.☆17Updated 6 years ago
- ☆24Updated 6 months ago
- Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"☆30Updated 5 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 4 years ago
- Training and evaluating self-supervised deep neural networks☆29Updated 7 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- batchboost is a variation on MixUp that instead of mixing just two images, mixes many images together.☆44Updated 4 years ago
- ☆17Updated 4 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 5 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- ☆54Updated 3 years ago
- High-Level Training, Data Augmentation, and Utilities for Pytorch☆13Updated 5 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆39Updated 4 years ago
- [NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements☆40Updated last year
- Neural Deconvolutions in Tensorflow☆12Updated 4 years ago
- ☆63Updated 3 years ago
- Self-Supervised Domain Adaptation with Consistency Training☆19Updated 4 years ago