Alternatives and similar repositories for topicsne

Users that are interested in topicsne are comparing it to the libraries listed below

• erictzeng / adda
  ☆222Updated 6 years ago
• jacobgil / pytorch-explain-black-box
  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
  ☆338Updated 4 years ago
• ddtm / caffe
  Caffe: a fast open framework for deep learning.
  ☆136Updated 10 years ago
• kimiyoung / ssl_bad_gan
  Good Semi-Supervised Learning That Requires a Bad GAN
  ☆180Updated 8 years ago
• takerum / vat_tf
  Virtual adversarial training with Tensorflow
  ☆254Updated 7 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• CSAILVision / NetDissect
  Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
  ☆454Updated 7 years ago
• haeusser / learning_by_association
  This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…
  ☆151Updated 8 years ago
• facebookresearch / low-shot-shrink-hallucinate
  Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
  ☆310Updated 4 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆211Updated 7 years ago
• brain-research / realistic-ssl-evaluation
  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆460Updated 6 years ago
• mingyuliutw / CoGAN
  ☆288Updated 7 years ago
• ikostrikov / pytorch-meta-optimizer
  A PyTorch implementation of Learning to learn by gradient descent by gradient descent
  ☆317Updated 7 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 7 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 8 years ago
• fducau / AAE_pytorch
  ☆201Updated 8 years ago
• s-laine / tempens
  Temporal ensembling for semi-supervised learning
  ☆159Updated 8 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆239Updated 3 years ago
• thuml / DAN
  Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)
  ☆161Updated 8 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆296Updated 5 years ago
• adambielski / CapsNet-pytorch
  PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
  ☆495Updated 4 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆710Updated 5 years ago
• AntreasAntoniou / MatchingNetworks
  An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
  ☆333Updated 7 years ago
• GRAAL-Research / domain_adversarial_neural_network
  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
  ☆141Updated 8 years ago
• OctoberChang / MMD-GAN
  MMD-GAN: Towards Deeper Understanding of Moment Matching Network
  ☆201Updated 2 years ago
• timomernick / pytorch-capsule
  Pytorch implementation of Hinton's Dynamic Routing Between Capsules
  ☆630Updated 7 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 8 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆119Updated 8 years ago
• musyoku / adversarial-autoencoder
  Chainer implementation of adversarial autoencoder (AAE)
  ☆257Updated 7 years ago
• gaohuang / SnapshotEnsemble
  Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
  ☆188Updated 8 years ago