Alternatives and similar repositories for pyDML:

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

• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆104Updated 5 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆212Updated 3 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆90Updated 6 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 3 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆201Updated 7 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆179Updated 4 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 5 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆314Updated 5 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆238Updated last year
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 10 months ago
• Raymond-sci / PICA
  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
  ☆58Updated 4 years ago
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆160Updated 5 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 6 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆130Updated 4 years ago
• facebookresearch / DeeperCluster
  Implements the unsupervised pre-training of convolutional neural networks
  ☆249Updated 3 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆123Updated 4 years ago
• johny-c / pylmnn
  Large Margin Nearest Neighbors implementation in python
  ☆48Updated last year
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆132Updated last year
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• mmazeika / glc
  Gold Loss Correction
  ☆87Updated 6 years ago
• ahmetius / LP-DeepSSL
  Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
  ☆116Updated 4 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 7 years ago
• Jianbo-Lab / L2X
  ☆125Updated 3 years ago
• lmzintgraf / DeepVis-PredDiff
  Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
  ☆117Updated 7 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆87Updated 2 years ago
• Raymond-sci / AND
  Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
  ☆155Updated 5 years ago
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆36Updated 4 years ago
• CompVis / metric-learning-divide-and-conquer
  Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
  ☆264Updated 5 years ago