Stars
📚 Freely available programming books
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A neural network that transforms a design mock-up into a static website.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A set of Ansible playbooks to build and maintain your own private cloud: email, calendar, contacts, file sync, IRC bouncer, VPN, and more.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A list of public penetration test reports published by several consulting firms and academic security groups.
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
🌎 machine learning tutorials (mainly in Python3)
Free and open source Bootstrap 5 Admin Dashboard Template with vanilla Javascript
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
A curated list of amazingly awesome WordPress resources, themes, plugins and shiny things. Inspired by awesome-php.
Find dates inside text using Python and get back datetime objects
Streamlit Data Science and ML Apps in Python
Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
Geo Data Analytics tool for VSCode IDE with kepler.gl support to generate and view maps 🗺️ without any Python 🐍, IPyWidgets ⚙️, pandas 🐼, Jupyter notebooks 📚, or ReactJS ⚛️ app code.
Complete AI-playbook for entrepreneurs. Follow this blueprint to create an AI-first business.
This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube
pandas_ui helps you wrangle & explore your data and create custom visualizations without digging through StackOverflow. All inside your Jupyter Notebook ( alternative to Bamboolib ).
Example project showing how to host multiple streamlit apps on Heroku behind a nginx proxy with authentication
Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques, on several modern platforms and libraries.
The simplest complex example that I can think of to show main Flask app concepts.
PyConDE 2019 talk about interpretable machine learning
Project with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.