Alternatives and similar repositories for AHP

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

• timothyasp / apriori-python
  Association Rules Mining
  ☆95Updated 10 years ago
• KevinLiao159 / TalkingData
  TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition
  ☆13Updated 6 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 7 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆55Updated 9 years ago
• MiyainNYC / Graph-Thinking
  Recommender Systems, Social Network Analysis, static & dynamic graph modeling, Neo4j, igraph, networkX
  ☆9Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• biolab / orange3-associate
  🍊 Frequent itemsets and association rules mining for Orange 3.
  ☆65Updated 10 months ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆36Updated 7 years ago
• llSourcell / Kaggle_Challenge_LIVE-Two-Sigma
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 6 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• paullintilhac / Machine-Learning
  ☆34Updated 8 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 4 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆87Updated 9 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• freedomljc / Loan_Default_Prediction
  This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
  ☆62Updated 11 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• yuqirose / TensorRNN
  Source repo for tensor-train recurrent neural network for long-term forecasting
  ☆8Updated 7 years ago
• jmoy / repec-lda
  Classifying economics articles using Latent Dirichlet Allocation
  ☆8Updated 8 years ago
• roboticcam / DLS_meetup_2018_02
  Contains all presentations for Deep Learning Sydney Meetup 2018 02
  ☆18Updated 7 years ago
• xieqihui / pandas-multiprocess
  A Python package to process Pandas Dataframe using multi-processing
  ☆54Updated 4 years ago
• tony-hong / event-embedding-multitask
  *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
  ☆21Updated 6 years ago
• NeerajSarwan / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆46Updated 6 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 7 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago