SpringerNLP / Chapter4Links
Chapter 4: Basics of Deep Learning
☆10Updated 5 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 5 years ago
- Repository for ODSC talk related to Deep Learning NLP☆23Updated 5 years ago
- Chapter 8: Automatic Speech Recognition☆12Updated 5 years ago
- deep learning class at UT☆9Updated 6 years ago
- Here we will post recitation materials.☆9Updated 5 years ago
- Materials for the Neural Network tutorial at PyData NYC 2019☆15Updated 2 years ago
- Clinical NLP workshop for ODSC☆39Updated 5 years ago
- Teaching material and other info associated with the Information Extraction using Topic Models tutorial at SciPy US 2018.☆19Updated 6 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 10 months ago
- 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
- Clinical NLP Analysis with Elasticsearch and Kibana☆35Updated 6 years ago
- Text Similarity Search Application using Modern NLP and Elasticsearch☆30Updated 5 years ago
- The repository for the course in Udemy☆16Updated 5 years ago
- Hands-on examples showcasing popular NLP applications☆19Updated 5 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 4 years ago
- Data Science Resources☆79Updated 2 months ago
- This contains materials for the word embeddings workshop☆127Updated 7 years ago
- COVID-19 Open Research Dataset (CORD-19) Analysis☆57Updated 2 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- Source Code for 'Natural Language Processing Recipes' by Akshay Kulkarni and Adarsha Shivananda☆25Updated 6 years ago
- ☆38Updated 5 years ago
- Contains all tutorials and hands-on examples for the ODSC 2019 Workshop☆39Updated 5 years ago
- ☆16Updated 6 years ago
- This is a corpus dataset of the epidemiologic case reports on COVID-19 we created and used in our paper submitted to AMIA 2020☆30Updated 5 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆25Updated 5 years ago
- Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)☆56Updated 3 years ago
- YouTube course using IPython and Jupyter notebooks to do statistical analysis.☆20Updated 9 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Material for PyCon 2019 NLP Tutorial☆33Updated 6 years ago