30days

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

advanced-programming

Advanced concept of Swift and C

age

Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

artificial-intelligence-

Introduction to artificial intelligence and basic search algorithms that is the foundation of AI

assembly-lang-course

autograder

automata-2

A Python library for simulating finite automata and Turing machines

awstutorials

bash-basis

Upwork client work

basiclinearalgebratoolspurepy

Basic Linear Algebra Tools in Pure Python without Numpy or Scipy

bioinfomatics

bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data.

blockchain-demo

A web-based demonstration of blockchain concepts.

calculadora-

using JavaScript

comfyui

The most powerful and modular stable diffusion GUI with a graph/nodes interface.

computer-programming-in-c-cs-201.

Programming

cookbook_gemini_api

A collection of guides and examples for the Gemini API.

copilotkit

Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps.

core

:house_with_garden: Open source home automation that puts local control and privacy first.

corenet

CoreNet: A library for training deep neural networks

courseraml

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!

cs-60-computer-networks

computing devices exchange data with each other using connections between nodes

cs220-os

It contains course materials, study guides, practical examples, and assignments that cover fundamental to advanced concepts of OS and functionality.

datasette

An open source multi-tool for exploring and publishing data

deep-learning-colonoscopy

Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)