Alternatives and similar repositories for deep-ordinal-clm

Users that are interested in deep-ordinal-clm are comparing it to the libraries listed below

• GarrettJenkinson / condor_tensorflow
  CONditionals for Ordinal Regression and classification in tensorflow
  ☆17Updated 3 years ago
• GarrettJenkinson / condor_pytorch
  CONditionals for Ordinal Regression and classification in PyTorch
  ☆11Updated 2 years ago
• Raschka-research-group / corn-ordinal-neuralnet
  Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
  ☆27Updated 3 years ago
• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆12Updated 3 years ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆147Updated 3 years ago
• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆13Updated 2 years ago
• hussius / tabnet_fork
  A fork of TabNet by Google Research
  ☆26Updated 2 years ago
• ComputationalMedicineLab / patient2vec
  Embedding Complexity In the Data Representation Instead of In the Model (arXiv:1802.04233)
  ☆24Updated 7 years ago
• maciejczyzewski / batchboost
  batchboost is a variation on MixUp that instead of mixing just two images, mixes many images together.
  ☆44Updated 5 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 11 years ago
• tathey1 / autogmm
  ☆10Updated 4 years ago
• skeselj / capsule-network-experiments
  Pushing the limits of capsule networks.
  ☆12Updated 2 years ago
• luoyuanlab / text_gcn_tutorial
  A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
  ☆28Updated 5 years ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆12Updated 7 years ago
• nestordemeure / ManifoldMixupV2
  Manifold-Mixup implementation for fastai V2
  ☆17Updated 5 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 6 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 4 years ago
• RGLab / scamp
  Implementation of Selective Clustering Annotated using Modes of Projections
  ☆11Updated 5 years ago
• lapalap / B-LRP
  B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
  ☆18Updated 3 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• recursionpharma / rxrx1-utils
  Starter code for the CellSignal NeurIPS 2019 competition.
  ☆45Updated 4 months ago
• ck37 / coral-ordinal
  Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
  ☆81Updated 3 weeks ago
• CyberZHG / keras-gradient-accumulation
  Gradient accumulation for Keras
  ☆35Updated 4 years ago
• ahug / amld-pytorch-workshop
  Introduction to PyTorch Workshop at the AMLD 2019
  ☆31Updated 6 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• timdavidlee / fastai_dl2019p2
  Deep Learning Part 2, 2019 edition - transcriptions, screenshots and notebooks
  ☆11Updated 6 years ago
• o-tawab / Weights-Initializer-pytorch
  A module for making weights initialization easier in pytorch.
  ☆17Updated 7 years ago
• i-pan / kaggle-siim-ptx
  8th place solution for SIIM-ACR Pneumothorax Segmentation competition on Kaggle
  ☆22Updated 3 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• uark-cviu / Intraformer
  Intraformer: A Transformer based Approach to Unsupervised Long-tail Face, Facial Expression and Visual Recognition
  ☆23Updated 3 years ago