Alternatives and similar repositories for pycol

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

• miriamspsantos / open-source-imbalance-overlap
  A collection of Open Source Contributions in Learning from Imbalanced and Overlapped Data
  ☆17Updated 3 years ago
• casper-hansen / model-stacking
  Model stacking example on toy dataset using XGBoost, LightGBM and more, combined with mlxtend model stacking.
  ☆20Updated 2 years ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 4 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆177Updated 5 months ago
• Isaacburmingham / multivariate-time-series-anomaly-detection
  Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…
  ☆20Updated 2 years ago
• KasperGroesLudvigsen / xgboost_time_series
  How to use XGBoost for multi-step time series forecasting
  ☆38Updated 2 years ago
• justinengelmann / GANbasedOversampling
  ☆64Updated 2 years ago
• kokikwbt / predictive-maintenance
  Datasets for Predictive Maintenance
  ☆115Updated last week
• solegalli / feature-selection-in-machine-learning-book
  Code repository for the book feature selection in machine learning
  ☆29Updated last month
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆123Updated 7 months ago
• JLZml / Credit-Scoring-Data-Sets
  These common credit score data sets are collected to empirical evaluations, and I will update dynamically.
  ☆81Updated 6 years ago
• takechanman1228 / Effective-Uplift-Modeling
  ☆22Updated 10 months ago
• Swastik-25 / Imbalanced-Data-with-SMOTE-Techniques
  This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…
  ☆44Updated 4 years ago
• akhodadadi / MultiStepAheadForecasting
  multi-step ahead forecasting of spatio-temporal data
  ☆14Updated 6 years ago
• trainindata / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆9Updated last year
• ThomasMeissnerDS / BlueCast
  A lightweight and fast auto-ml library
  ☆77Updated last month
• Zhangyuyi-0825 / ShapTime
  ☆14Updated 2 years ago
• iamirmasoud / energy_consumption_prediction
  Energy consumption prediction using LSTM/GRU networks in PyTorch
  ☆55Updated 2 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 3 years ago
• kpeters / exploring-nasas-turbofan-dataset
  collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
  ☆132Updated 4 years ago
• LuisM78 / Appliances-energy-prediction-data
  Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-ener…
  ☆93Updated 8 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project
  This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and pro…
  ☆28Updated 2 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆93Updated 2 months ago
• kennethleungty / Anomaly-Detection-Pipeline-Kedro
  Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
  ☆24Updated 2 years ago
• Christophe-pere / Time_series_RNN
  This repository contains the code to generate timeseries prediction with the RNN family
  ☆43Updated 4 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆321Updated last year
• kolasniwash / short-term-energy-demand-forecasting
  Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
  ☆91Updated 2 years ago
• FinYang / tsdl
  The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.
  ☆109Updated 4 years ago