SpringerNLP / Chapter4Links
Chapter 4: Basics of Deep Learning
☆10Updated 6 years ago
Alternatives and similar repositories for Chapter4
Users that are interested in Chapter4 are comparing it to the libraries listed below
Sorting:
- Chapter 3: Text and Speech Basics☆13Updated 6 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 4 years ago
- Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.☆19Updated 7 years ago
- Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)☆56Updated 3 years ago
- Data Science Resources☆80Updated 8 months ago
- Notebooks for deep learning course☆14Updated 3 years ago
- 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 5 years ago
- Applied Machine Learning with Python☆80Updated last year
- Hands-on examples showcasing popular NLP applications☆19Updated 6 years ago
- Clinical NLP workshop for ODSC☆39Updated 6 years ago
- 📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing☆49Updated 5 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆31Updated 5 years ago
- Contains all tutorials and hands-on examples for the ODSC 2019 Workshop☆39Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- COVID-19 Open Research Dataset (CORD-19) Analysis☆57Updated 3 years ago
- ☆39Updated 8 years ago
- Code for the paper "Content Analysis of Textbooks via Natural Language Processing".☆62Updated 2 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆24Updated 6 years ago
- 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
- Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya☆25Updated 6 years ago
- Materials for the Neural Network tutorial at PyData NYC 2019☆15Updated 2 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 6 years ago
- Hypothesis and statistical testing in Python☆65Updated 5 years ago