parulnith / Explainable-AI-WorkshopLinks
☆17Updated last year
Alternatives and similar repositories for Explainable-AI-Workshop
Users that are interested in Explainable-AI-Workshop are comparing it to the libraries listed below
Sorting:
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Natural Language Processing For Everyone☆134Updated 9 months ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 5 years ago
- Contains Python code for my Imbalanced-Classification training course!☆37Updated 4 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 Engineering for Data Scientists☆77Updated 2 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆24Updated 5 years ago
- Reference code base for ML Engineering, Manning Publications☆130Updated 3 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year
- Cleaning Data for Effective Data Science, published by Packt☆99Updated 2 years ago
- ☆26Updated 4 years ago
- This is a repo for all the time series related notebook for AIENgineering☆2Updated 4 years ago
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 3 years ago
- Deep Learning with fastai Cookbook, published by Packt☆59Updated 3 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 6 months ago
- This playlist covers model deployment covered as part of course in YouTube - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5PlN1jwOB3…☆100Updated 4 years ago
- Designing and Deploying LLM Pipelines☆35Updated 3 months ago
- ☆66Updated 3 years ago
- A simple example to showcase machine learning model deployment with an API☆10Updated 3 years ago
- ☆11Updated 2 years ago
- Production-Ready Applied Deep Learning☆90Updated last year
- Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks☆45Updated 4 years ago
- Applied Machine Learning with Python☆80Updated last year
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and tech…☆80Updated last year
- [Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Co…☆140Updated 6 months ago
- TensorFlow 2.x Jupyter Notebooks☆46Updated 5 years ago
- Machine Learning with Amazon SageMaker Cookbook, published by Packt☆54Updated 2 years ago
- [Video]Colab Notebooks for Python for Data Science by Pearson☆42Updated 6 months ago