Alternatives and similar repositories for pytorch-nlp-tutorial-eu2018

Users that are interested in pytorch-nlp-tutorial-eu2018 are comparing it to the libraries listed below

• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• joelgrus / odscnet
  repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"
  ☆13Updated 8 years ago
• RaRe-Technologies / talks
  Presentations & notebooks from our talks /workshops/meetups/etc
  ☆24Updated 7 years ago
• parulsethi / gensim
  Topic Modelling for Humans
  ☆22Updated 7 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• jrzaurin / nlp-stuff
  A bit of everything about text and nlp [IN PROGRESS]
  ☆28Updated 4 years ago
• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 8 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 4 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• dselivanov / kaggle-outbrain
  Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/…
  ☆20Updated 8 years ago
• Wrosinski / keraspipelines
  Pipelines for Keras Deep Learning Library
  ☆17Updated 8 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 6 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated last week
• AI-ON / deep-embedding
  Discovering deep embedding spaces for Psychiatric imaging
  ☆16Updated 8 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 5 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• bwallace / ACL-2014-irony
  Code and data from our ACL 2014 paper "Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)"
  ☆16Updated 11 years ago
• bwsturm / metis_bootcamp
  Working folder for Metis bootcamp
  ☆10Updated 7 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• allenai / aiconf-allennlp-tutorial
  allennlp tutorial for O'Reilly AI Conference, September 2019
  ☆22Updated 6 years ago
• Dicksonchin93 / toxic_comment_classification
  Predict Toxic Comments in the wild
  ☆41Updated 7 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆49Updated 4 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 6 years ago
• nlptown / nlppapers
  A list of notes about NLP papers
  ☆35Updated 7 years ago
• davpinto / ml-simulations
  Animated Visualizations of Popular Machine Learning Algorithms
  ☆38Updated 9 years ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 7 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 8 years ago
• hamelsmu / Seq2Seq_Tutorial
  Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
  ☆139Updated 3 years ago