Alternatives and similar repositories for crucible

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

• indeedeng / anomaly-detection
  ☆61Updated 9 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 6 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 10 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• tdunning / anomaly-detection
  A simple demonstration of sub-sequence sampling as used for anomaly detection with EKG signals
  ☆102Updated 4 years ago
• Parsely / probably
  Probabilistic Data Structures in Python (originally presented at PyData 2013)
  ☆55Updated 3 years ago
• dmarx / Topological-Anomaly-Detection
  Topological Anomaly Detection (TAD) per Gartley and Basener 2009
  ☆69Updated 5 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 9 years ago
• phdata / exploring-mllib-post
  Source code for exploring MLlib blog post
  ☆11Updated 10 years ago
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 9 years ago
• alex-pirozhenko / sklearn-pmml
  A library that allows serialization of SciKit-Learn estimators into PMML
  ☆70Updated 5 years ago
• appnexus / logistic-regression-L1
  ☆15Updated 9 years ago
• nlittlepoole / thermometr
  Open Source Anomaly Detection in Python
  ☆40Updated 9 years ago
• chriso / timeseries
  Time series analysis
  ☆42Updated 10 years ago
• kalaidin / sketches
  HyperLogLog and other probabilistic data structures for mining in data streams
  ☆14Updated 10 years ago
• MKLab-ITI / news-popularity-prediction
  A set of methods that predict the future values of popularity indices for news posts using a variety of features.
  ☆33Updated 7 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆58Updated 7 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 10 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• davidadamsphd / spark-vs-dataflow
  Demo code contrasting Google Dataflow (Apache Beam) with Apache Spark
  ☆14Updated 8 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• rhiever / MarkovNetwork
  Python implementation of Markov Networks for neural computing.
  ☆38Updated 4 months ago
• andreas-h / pyloess
  loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess
  ☆56Updated 7 years ago
• CarsonScott / Competitive-Feature-Learning
  Online feature-extraction and classification algorithm that learns representations of input patterns.
  ☆31Updated 8 years ago
• mvaz / osqf2015
  ☆25Updated 10 years ago