Alternatives and similar repositories for PyNeurGen

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

• Salma-El-Alaoui / Blind-Source-Separation
  Analysis and Improvement of Independent Subspace Analysis methods: MICA, FastISA
  ☆17Updated 8 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• abhinavralhan / kohonen-maps
  Implementation of SOM and GSOM
  ☆73Updated 7 years ago
• oborchers / Medium_Repo
  This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…
  ☆52Updated 4 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆44Updated 2 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆100Updated 5 years ago
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆28Updated 5 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago
• skylergrammer / SimulatedAnnealing
  ☆45Updated 5 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 6 years ago
• NLeSC / mcfly-tutorial
  tutorial for mcfly repository
  ☆79Updated 2 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆56Updated 7 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆65Updated 6 years ago
• kperry2215 / change_point_detection
  Examples of online and offline changepoint detection using the ruptures and changefinder packages
  ☆54Updated 6 years ago
• UCIDataScienceInitiative / AdvPredictiveModeling_withPython
  Jupyter Notebooks for Adv. Predictive Modeling Course
  ☆15Updated 8 years ago
• ymtoo / ts-dist
  Time series distance measures
  ☆25Updated 3 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• Rachnog / Optimization-Cookbook
  ☆12Updated 7 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 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
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• QuantStack / quantstack-talks
  Slides for quantstack talks
  ☆81Updated 2 years ago
• titicaca / GP-Clustering
  Clustering with Gaussian Process Models
  ☆19Updated 6 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
• palaimon / ipyannotator
  the infinitely hackable annotation framework
  ☆36Updated 2 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated 2 months ago