Alternatives and similar repositories for bigishdata

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

• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 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
• kuleshov / deep-learning-models
  Implementations of popular deep learning models in Theano+Lasagne
  ☆24Updated 8 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• eidonfiloi / SparseRecurrentNetwork
  ☆10Updated 9 years ago
• glouppe / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆15Updated 8 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• minimaxir / predict-reddit-submission-success
  Repository w/ Jupyter + R Notebooks for creating a model to predict the success of Reddit submissions with Keras.
  ☆28Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 11 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 10 years ago
• LucasEstevam / textSentimentViz
  Visualization of text sentiment using deep learning
  ☆43Updated 9 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 7 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 8 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• wlattner / SciPy_2016
  Python and R: Writing Cross Language Tools (SciPy 2016 Talk)
  ☆20Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• abhishek-kumar / NNForMLL
  Neural Network Models for Multi-label learning
  ☆17Updated 4 years ago
• fducau / ML2016_EDU
  ☆12Updated 8 years ago
• rouseguy / Optimization_in_Python
  Tutorial on "Modern Optimization Methods in Python"
  ☆18Updated 9 years ago
• cavaunpeu / neurally-embedded-emojis
  Convolutional variational autoencoders and text-question, emoji-answer models
  ☆11Updated 8 years ago
• omkar-dsd / mini_projects
  This repo contains collection of various mini projects.
  ☆13Updated 6 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 10 years ago
• arnicas / nlp_elasticsearch_reviews
  Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation
  ☆45Updated 9 years ago
• neubig / yrsnlp-2016
  Structured Neural Networks for NLP: From Idea to Code
  ☆59Updated 8 years ago
• ilblackdragon / adversarial_workshop
  Adversarial Workshop code and presentation
  ☆38Updated 8 years ago
• socialmedia-class / socialmedia-class.github.io
  Social Media and Text Analytics Course at UPenn
  ☆24Updated 2 years ago