Alternatives and similar repositories for CauseEffectPairsChallenge

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

• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆83Updated 3 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆44Updated 9 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 7 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• janvdvegt / KernelMixtureNetwork
  Kernel Mixture Network implementation with some minor tweaks
  ☆45Updated 8 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• Cardal / Kaggle_WestNileVirus
  Winning solution for the Kaggle "West Nile Virus" competition (2015)
  ☆30Updated 10 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 11 years ago
• soumith / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆10Updated 7 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 8 years ago
• alexeygrigorev / nips-ad-placement-challenge
  The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
  ☆38Updated 7 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 7 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 7 years ago