Alternatives and similar repositories for Chapter4

Users that are interested in Chapter4 are comparing it to the libraries listed below

• SpringerNLP / Chapter3
  Chapter 3: Text and Speech Basics
  ☆13Updated 6 years ago
• SpringerNLP / Chapter9
  Chapter 9: Attention and Memory Augmented Networks
  ☆13Updated 6 years ago
• SpringerNLP / Chapter8
  Chapter 8: Automatic Speech Recognition
  ☆12Updated 6 years ago
• abhinaya08 / cognitive_analytics
  deep learning class at UT
  ☆9Updated 6 years ago
• mlhcmit / recitations
  Here we will post recitation materials.
  ☆9Updated 5 years ago
• pbiecek / xai_stories
  XAI Stories. Case studies for eXplainable Artificial Intelligence
  ☆29Updated 4 years ago
• dipanjanS / nlp_workshop_iisc19
  Hands-on examples showcasing popular NLP applications
  ☆19Updated 5 years ago
• derekgreene / topic-model-tutorial
  Tutorial on topic models in Python with scikit-learn
  ☆157Updated last year
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆160Updated 6 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 4 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 4 years ago
• Cristianasp / spacy-notebook
  A Notebook based on NLP Spacy course
  ☆57Updated 2 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆39Updated 5 years ago
• mattilyra / pydatanyc_2019
  Materials for the Neural Network tutorial at PyData NYC 2019
  ☆15Updated 2 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• jcatanza / Fastai-A-Code-First-Introduction-To-Natural-Language-Processing-TWiML-Study-Group
  For the TWiML NLP Study Group. We review the fast.ai course "A Code-First Introduction to Natural Language Processing", created by Rachel…
  ☆18Updated 5 years ago
• smsubrahmannian / Topic-Modeling
  ☆20Updated 7 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆49Updated 5 years ago
• UBC-NLP / deeplearning-nlp2018
  UBC Deep Learning for Natural Language Processing Course
  ☆38Updated 5 years ago
• dbamman / anlp21
  Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)
  ☆56Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• shubhamjn1 / TextBlob
  ☆17Updated 7 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 6 years ago
• neuml / cord19q
  COVID-19 Open Research Dataset (CORD-19) Analysis
  ☆57Updated 2 years ago
• h2oai / tutorials
  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…
  ☆134Updated last year
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 9 months ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• parulsethi / Information-extraction-tutorial
  Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.
  ☆19Updated 7 years ago