zygmuntz / gaussrank

Related projects ⓘ

Alternatives and complementary repositories for gaussrank

• mxbi / ftim
  Feature-Time Instability Metric
  ☆43Updated 8 years ago
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆66Updated 7 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆31Updated 7 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• janvdvegt / KernelMixtureNetwork
  Kernel Mixture Network implementation with some minor tweaks
  ☆45Updated 7 years ago
• abhishekkrthakur / pysembler
  An automatic ensembler of machine learning models in python
  ☆67Updated 7 years ago
• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 9 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆58Updated 5 years ago
• alessandrosp / multi_view_network
  Keras implementation of Guo et al.'s Multi-View Network (2017).
  ☆12Updated 6 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 7 years ago
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆30Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 5 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated last year
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆100Updated 8 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• jfpuget / Kaggle_PLAsTiCC
  Part of our solution to PLAsTiCC Kaggle challenge
  ☆18Updated 5 years ago
• metachi / fastaiv2keras
  This is an implementation of the fastai part1 v2 course in Keras
  ☆27Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• alno / batch-learn
  ☆49Updated 6 years ago
• tnmichael309 / Kaggle-Santander-Customer-Transaction-Prediction-5th-Place-Partial-Solution
  Kaggle Competition notebooks
  ☆33Updated 5 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 5 months ago
• sebp / tf_autoencoder
  Denoising autoencoder implementation as TensorFlow estimator
  ☆25Updated 6 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆68Updated 5 years ago
• alexeygrigorev / nips-ad-placement-challenge
  The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
  ☆38Updated 6 years ago