Alternatives and similar repositories for articles

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

• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 8 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 8 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• aqibsaeed / Anomaly-Detection
  Anomaly detection algorithm implementation in Python
  ☆129Updated 5 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆103Updated 6 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 7 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• huseinzol05 / Machine-Learning-Numpy
  Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much m…
  ☆112Updated 6 years ago
• Geo-Joy / Deep-Learning-for-Time-Series-Forecasting
  This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…
  ☆143Updated 7 years ago
• matthewswogger / Surge-Forecast-with-RNN
  Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the fut…
  ☆44Updated 9 years ago
• analyticsvidhya / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆80Updated 7 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 8 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• mikemull / Notebooks
  Ipython notebooks on various topics
  ☆67Updated 7 years ago
• normanrz / dynamic-prices
  Dynamic pricing for selling perishable goods
  ☆64Updated 8 years ago
• kthouz / NYC_Green_Taxi
  Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
  ☆45Updated 8 years ago
• llSourcell / random_forests
  This is the code for "Random Forests - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
  ☆87Updated 8 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 6 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆71Updated 3 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆166Updated 7 years ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆87Updated 9 years ago
• NeerajSarwan / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆46Updated 7 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆56Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆93Updated 2 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆137Updated 3 years ago