Alternatives and similar repositories for csmlc:

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

• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• AlexGidiotis / Advanced-ML-techniques
  This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imb…
  ☆18Updated 6 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆42Updated 5 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 4 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆50Updated 6 years ago
• mrottmann / DeepBASS
  Deep Bayesian Active Semi-Supervised Learning
  ☆11Updated 6 years ago
• iitml / AL
  Active Learning
  ☆57Updated 9 years ago
• talbaumel / MIMIC
  ☆17Updated 5 years ago
• arthurdouillard / keras-snapshot_ensembles
  Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)
  ☆25Updated 6 years ago
• junliangma / gbssl
  Graph-Based Semi-Supervised Learning Algorithms
  ☆23Updated 8 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• olddaos / KerasDeepWalk
  Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…
  ☆17Updated 8 years ago
• yning / nested_Multi_Instance_Learning
  ☆19Updated 7 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆75Updated 10 years ago
• lateral / hs-semantic-tree
  Training word embeddings using hierarchical softmax with a semantic tree.
  ☆17Updated 7 years ago
• zidik / Self-labeled-techniques-for-semi-supervised-learning
  ☆23Updated 6 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 5 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 7 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• s4sarath / Deep-Learning-Projects
  ☆17Updated 4 years ago
• yangperasd / gated_cnn
  Keras implementation of “Gated Linear Unit ”
  ☆23Updated 8 months ago
• yezhang-xiaofan / Active-Learning-for-Neural-Networks
  Tensorflow implementation of "EGL-word" method in AAAI 2017 paper "Active Discriminative Text Representation Learning"
  ☆23Updated 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…
  ☆27Updated 4 years ago
• NikhilGupta1997 / LookOut
  Beyond Outlier Detection: LookOut for Pictorial Explanation
  ☆25Updated 6 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
• geduo15 / Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow
  implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
  ☆56Updated 7 years ago
• trangptm / HighwayNetwork
  For training very deep networks
  ☆9Updated 7 years ago
• synthesio / hierarchical-attention-networks
  Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf
  ☆58Updated 6 years ago