Alternatives and similar repositories for kdd-2018-hands-on-tutorials:

Users that are interested in kdd-2018-hands-on-tutorials are comparing it to the libraries listed below

• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• RaRe-Technologies / talks
  Presentations & notebooks from our talks /workshops/meetups/etc
  ☆24Updated 7 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
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• allenai / aiconf-allennlp-tutorial
  allennlp tutorial for O'Reilly AI Conference, September 2019
  ☆22Updated 5 years ago
• italo-batista / lsh-semantic-similarity
  Locality Sensitive Hashing for semantic similarity (Python 3.x)
  ☆15Updated 6 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
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 4 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 7 years ago
• snorkel-team / snorkel-zoo
  A collection of utilities for writing labeling functions, transformation functions, and slicing functions.
  ☆21Updated 5 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
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• datarobot / pic2vec
  Lightweight Image Featurization Made Easy
  ☆31Updated 3 years ago
• RaRe-Technologies / topic_eval
  Tools and services for evaluating topic models
  ☆15Updated 9 years ago
• joelgrus / streamlit-allennlp
  allennlp + streamlit demo
  ☆22Updated 5 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• nelson-liu / pytorch-paper-classifier
  A simple model for classifying papers by academic venue (AI/ML/ACL), given a title and abstract. Bare-metal PyTorch port of https://gith…
  ☆12Updated 7 years ago
• anj-s / kdd2018
  Hands-on workshop
  ☆38Updated 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 7 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• parulsethi / gensim
  Topic Modelling for Humans
  ☆22Updated 7 years ago
• talolard / CMFT_PyCon2017
  Materials for Convolutional Methods for Text workshop at PyCon2017
  ☆11Updated 7 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• ahmedbesbes / overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification
  NLP tutorial
  ☆42Updated 6 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• joosthub / pytorch-nlp-tutorial-ny2018
  PyTorch NLP tutorial, O'Reilly AI NYC 2018
  ☆25Updated 7 years ago