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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

academiccontent

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

anomaly-detection

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

avatarify-python

Avatars for Zoom, Skype and other video-conferencing apps.

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-industrial-machine-datasets

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mlops

A curated list of references for MLOps

bank-marketing

bigquery-utils

Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

camicb

Config files for my GitHub profile.

copper-forecasting

data_science_bootcamp

dataflowtemplates

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks

datasharing

The Leek group guide to data sharing

deep_learning_bootcamp

All the learning material for deep learning bootcamp can be found in this repository

devops_bootcamp

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

dl-image

drift

dvc_iterative.ai_course

explainerdashboard

explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.

facets

Visualizations for machine learning datasets

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

imbalanced_classes

interpret

Fit interpretable models. Explain blackbox machine learning.

machine_learning_bootcamp