Alternatives and similar repositories for KDDCup

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

• dlsys-course / lab1
  ☆15Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• rkirana / kdd2014
  kdd2014PrizeWinner
  ☆13Updated 10 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
• gradientzoo / python-gradientzoo
  Python integration for Gradientzoo - version and share your trained neural network model weights
  ☆12Updated 9 years ago
• nagadomi / kaggle-lshtc
  Code for Large Scale Hierarchical Text Classification competition. Final place: 3rd
  ☆37Updated 10 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
• germank / compatibility-naacl2015
  Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…
  ☆11Updated 10 years ago
• mesuvash / LRec
  Linear Recommender AAAI-16 code
  ☆20Updated 7 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• amsqr / Allen_AI_Kaggle
  My solution for Kagge Allen AI Challenge ( 3rd place )
  ☆19Updated 9 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago
• kastnerkyle / kaggle-criteo
  Code for Criteo competition http://www.kaggle.com/c/criteo-display-ad-challenge
  ☆22Updated 10 years ago
• zygmuntz / kaggle-avito
  Code for the Avito competition
  ☆16Updated 10 years ago
• Strateus / dionis
  Dionis predictors blender
  ☆10Updated 9 years ago
• abhishek-kumar / NNForMLL
  Neural Network Models for Multi-label learning
  ☆17Updated 4 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 8 years ago
• daxiongshu / stack-nn-tensorflow
  ☆26Updated 8 years ago
• eidonfiloi / SparseRecurrentNetwork
  ☆10Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 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 7 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 6 years ago
• zygmuntz / kaggle-cifar
  Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
  ☆44Updated 10 years ago
• n01z3 / kaggle_yt8m
  This is my code from competition Google Cloud & YouTube-8M Video Understanding Challenge. My solution based on video level features only.
  ☆16Updated 7 years ago
• xgboost-ai / xgboost-ai.github.io
  xgboost website
  ☆21Updated 11 months ago
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆8Updated 2 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• kh-kim / study_organizer
  Collection of Lectures, Articles, Slides and Papers for Deeplearning (+Machine Learning)
  ☆11Updated 8 years ago