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30days

#30DaysOfStreamlit is a 30-day social challenge for you to build and deploy Streamlit apps.

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

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

90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

advanced-shiny

🤹 Shiny tips & tricks for improving your apps and solving common problems

airflow-tutorial

Apache Airflow tutorial

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

awesome-jupyterlab

A curated list of awesome JupyterLab extensions and resources

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-pandas-alternatives

Awesome list of alternative dataframe libraries in Python.

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-rshiny

An awesome R-shiny list!

awesome-shiny-extensions

🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny

best-of-ml-python

🏆 A ranked list of awesome machine learning python libraries. Updated weekly.

best-of-web-python

🏆 A ranked list of awesome python libraries for web development. Updated weekly.

computer-vision-with-python-and-opencv2

Computer Vision with Python and OpenCV2. I have compiled blog posts on this project. Go to website URL.

dash-clean-architecture-template

Template for enterprise application using Dash frontend with Flask backend

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-version-control

design-resources-for-developers

Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

django-opencv-barcodes

A simple django application to read and generate 1D barcodes and QR codes

docker-handbook-projects

Project codes used in "The Docker Handbook"

emoji-cheat-sheet

A markdown version emoji cheat sheet

engcomp

A set of learning modules in computing for engineering undergraduate students.

engcomp1_offtheground

Learn to interact with Python and handle data with Python. Join the online course!

engcomp2_takeoff

Hands-on data analysis using a computational approach and real-life applications.

engcomp3_tourdynamics

Tour of the dynamics of change and motion using computational thinking with Python

engcomp4_landlinear

Using computational thinking to get deep insights on the foundations of linear algebra

engcomp5_surfourier

engcomp6_deeplearning

A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.