Alternatives and similar repositories for nnet-ts

Users that are interested in nnet-ts are comparing it to the libraries listed below

• mhamilton723 / tseries
  A library for time series analysis with sklearn.
  ☆81Updated 8 years ago
• RobRomijnders / CNN_tsc
  A CNN for time-series classification
  ☆156Updated 8 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• CalculatedContent / tsvm
  experiments testing transductive svm for my blog posts
  ☆91Updated 10 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 9 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 11 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 9 years ago
• simaaron / kaggle-Rain
  Winning solution to the Kaggle competition - How Much Did It Rain? II
  ☆155Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 12 years ago
• freedomljc / Loan_Default_Prediction
  This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
  ☆62Updated 11 years ago
• beamandrew / deep_learning_works
  Code to accompany "You can probably use deep learning even if your data isn't that big" blog post
  ☆74Updated 8 years ago
• jperl / stock2vec
  📈 Stock embeddings based on PE context
  ☆75Updated 8 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆97Updated 11 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 9 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• unnati-xyz / ensemble-package
  Package for Ensemble of Machine Learning Models
  ☆30Updated 5 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 9 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆101Updated 9 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 8 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆82Updated 10 years ago