QuantScientist / kaggle-seizure-prediction-challenge-2016

Related projects: ⓘ

• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆20Updated 6 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 7 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 4 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆73Updated 4 years ago
• happycube / kaggle2017
  Code, notes, etc of completed Kaggle competitions
  ☆22Updated 7 years ago
• aarshayj / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 8 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 7 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆30Updated 6 years ago
• alexeygrigorev / nips-ad-placement-challenge
  The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
  ☆38Updated 6 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 9 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆47Updated 8 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 8 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆31Updated 7 years ago
• gaborfodor / TNP
  Telstra Network Disruptions - Predict service faults on Australia's largest telecommunications network
  ☆13Updated 7 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆46Updated 7 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆19Updated 6 years ago