Alternatives and similar repositories for Online-Category-Learning

Users that are interested in Online-Category-Learning are comparing it to the libraries listed below

• CarsonScott / Online-Relationship-Learning
  Unsupervised ML algorithm for predictive modeling and time-series analysis
  ☆38Updated 4 years ago
• CarsonScott / Competitive-Feature-Learning
  Online feature-extraction and classification algorithm that learns representations of input patterns.
  ☆31Updated 8 years ago
• 0011001011 / vizuka
  Explore high-dimensional datasets and how your algo handles specific regions.
  ☆107Updated 6 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• ilblackdragon / adversarial_workshop
  Adversarial Workshop code and presentation
  ☆38Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• jgolebiowski / graphAttack
  Computational graph library for machine learning
  ☆46Updated 7 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
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 7 years ago
• maet3608 / nuts-ml
  Flow-based data pre-processing for deep learning
  ☆31Updated 4 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• azampagl / ai-ml-ripperk
  A high performance rule induction algorithm (RIPPERk).
  ☆29Updated 11 years ago
• xiaoganghan / awesome-feature-engineering
  A curated list of feature engineering techniques for image and text machine learning
  ☆50Updated 8 years ago
• CarsonScott / Prediction-Template-Learning
  Online machine learning algorithm that makes predictions about the environment to improve itself.
  ☆60Updated 8 years ago
• PiSimo / DeepChart
  Generate images of neural network achitectures.
  ☆19Updated 7 years ago
• EFavDB / linselect
  ☆89Updated 7 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• rakesh-chinta / Advanced-Factorization-of-Machine-Systems
  GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…
  ☆14Updated 8 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• EderSantana / Awesome-Distributed-ML
  Awesome Distributed Machine Learning Frameworks
  ☆31Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 7 years ago