AIPI540 / AIPI540-Deep-Learning-ApplicationsLinks
This repo contains demo code notebooks accompanying the AIPI 540: Deep Learning Applications course in Duke University's Master of Engineering in AI for Product Innovation program
☆40Updated 11 months ago
Alternatives and similar repositories for AIPI540-Deep-Learning-Applications
Users that are interested in AIPI540-Deep-Learning-Applications are comparing it to the libraries listed below
Sorting:
- Syllabus for Artificial Intelligence for Product Innovation Master of Engineering: https://ai.meng.duke.edu/degree☆32Updated 2 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- A collection of my blogs on Data Science and Machine learning.☆86Updated 11 months ago
- I am learning from Hugging Face.☆22Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- This will contain the code for the 2nd edition of NLP with TensorFlow (Edition 2)☆44Updated 3 years ago
- ☆151Updated 3 years ago
- ☆66Updated 6 months ago
- Notebooks for a course☆40Updated 5 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated 2 months ago
- Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/d…☆31Updated last year
- Lightning Bits: Engineering for Researchers repo☆132Updated 3 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆79Updated 2 years ago
- Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and tech…☆81Updated 2 years ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…☆73Updated last year
- A Recommendation engine for an e-commerce use case that provides recommendations to users based on their purchase history.☆21Updated 4 years ago
- I am sharing my journey of 66DaysOfData in Machine Learning☆57Updated 3 years ago
- Lecture notes & Exercises☆45Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 9 months ago
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆78Updated 9 months ago
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆53Updated 2 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆171Updated 2 years ago
- Data Cleaning and Exploration with Machine Learning☆54Updated 2 months ago
- Natural Language Processing with Large Language Models☆111Updated last year
- A tutorial for setting an SQL code generator with the OpenAI API