frozenheart3k's Projects
#30DaysOfStreamlit is a 30-day social challenge for you to build and deploy Streamlit apps.
Advanced concept of Swift and C
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
12 Weeks, 24 Lessons, AI for All!
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Introduction to artificial intelligence and basic search algorithms that is the foundation of AI
A Python library for simulating finite automata and Turing machines
Upwork client work
Basic Linear Algebra Tools in Pure Python without Numpy or Scipy
bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data.
A web-based demonstration of blockchain concepts.
using JavaScript
The most powerful and modular stable diffusion GUI with a graph/nodes interface.
Programming
A collection of guides and examples for the Gemini API.
Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps.
:house_with_garden: Open source home automation that puts local control and privacy first.
CoreNet: A library for training deep neural networks
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
computing devices exchange data with each other using connections between nodes
It contains course materials, study guides, practical examples, and assignments that cover fundamental to advanced concepts of OS and functionality.
An open source multi-tool for exploring and publishing data
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).
Keras code and weights files for popular deep learning models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)