ej0cl6 / csmlc

Related projects: ⓘ

• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆25Updated 7 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆39Updated 7 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 5 years ago
• zidik / Self-labeled-techniques-for-semi-supervised-learning
  ☆23Updated 6 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆20Updated 4 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• chihkuanyeh / C2AE
  The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
  ☆27Updated 7 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 6 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆42Updated 5 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆74Updated 10 years ago
• mrottmann / DeepBASS
  Deep Bayesian Active Semi-Supervised Learning
  ☆11Updated 6 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 8 years ago
• s4sarath / Deep-Learning-Projects
  ☆17Updated 4 years ago
• dbrojas / domain_adapt
  Domain adaptation networks for digit recognitioning
  ☆14Updated 6 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 6 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆50Updated 6 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆60Updated 7 years ago
• phdowling / mSDA
  Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…
  ☆26Updated 4 years ago
• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 4 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆74Updated 6 years ago
• mutantturkey / PyFeast
  ☆62Updated this week
• xiaohan2012 / sleec_python
  Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"
  ☆29Updated 6 years ago
• eleniTriantafillou / few_shot_mAP_public
  This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…
  ☆25Updated 6 years ago
• hiram64 / temporal-ensembling-semi-supervised
  Keras implementation of temporal ensembling(semi-supervised learning)
  ☆22Updated 5 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆37Updated 6 years ago
• zeakey / LDLForests
  Label Distribution Learning Forest
  ☆29Updated 6 years ago
• snowkylin / gnn
  TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.
  ☆19Updated 5 years ago