Alternatives and similar repositories for LPDN

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

• zhiwu-huang / GrNet
  GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.
  ☆26Updated 4 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• CSAILVision / IBD
  IBD: Interpretable Basis Decomposition for Visual Explanation
  ☆52Updated 7 years ago
• ucbdrive / tafe-net
  Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)
  ☆56Updated 5 years ago
• daniilidis-group / polar-transformer-networks
  Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.
  ☆57Updated 3 years ago
• karanchahal / SaliencyMapper
  Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
  ☆59Updated 6 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 7 years ago
• MarcTLaw / DeepSpectralClusteringToy
  PyTorch implementation of Deep Spectral Clustering paper on a toy dataset
  ☆25Updated 7 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• ColumbiaDVMM / Heated_Up_Softmax_Embedding
  Project page for Heated-up Softmax Embedding
  ☆43Updated 7 years ago
• alexgkendall / thesis
  Source Code for Alex Kendall's PhD Thesis
  ☆84Updated 7 years ago
• edocollins / DFF
  Deep Feature Factorization
  ☆57Updated 5 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• janisgp / Sampling-free-Epistemic-Uncertainty
  Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"
  ☆95Updated 2 years ago
• vvanirudh / deep-ensembles-uncertainty
  My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
  ☆139Updated 7 years ago
• pmorerio / minimal-entropy-correlation-alignment
  Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
  ☆64Updated 6 years ago
• human-analysis / pytorchnet
  Generalized Framework for PyTorch
  ☆32Updated 4 years ago
• hli2020 / nn_encapsulation
  Capsule research with our trivial contribution
  ☆53Updated 7 years ago
• PiotrDabkowski / pytorch-saliency
  Real-time image saliency 🌠 (NIPS 2017)
  ☆126Updated 7 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 7 years ago
• dakshitagrawal / HybridNet
  Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…
  ☆16Updated 7 years ago
• olivesgatech / TA3N
  [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
  ☆45Updated last year
• microsoft / metric-transfer.pytorch
  Deep Metric Transfer for Label Propagation with Limited Annotated Data
  ☆50Updated 2 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 6 years ago
• neuroailab / LocalAggregation
  Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"
  ☆60Updated 4 years ago
• glisanti / KCCAReId
  Matching People across Camera Views using Kernel Canonical Correlation Analysis
  ☆26Updated 7 years ago
• mancinimassimiliano / latent_domains_DA
  Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.
  ☆23Updated 5 years ago
• alldbi / Factorized-Spatial-Embeddings
  Tensorflow implementation of Unsupervised learning of object landmarks by factorized spatial embeddings
  ☆30Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 8 years ago
• fregu856 / evaluating_bdl
  Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
  ☆133Updated 5 years ago