mtusman-ai Goto Github PK

a-star-algorithm

In computer science is a computer algorithm that is widely used in pathfinding and graph traversal, the process of plotting an efficiently traversable path between multiple points, called nodes.

a_star_search

A* algorithm implementation using MATLAB and CoppeliaSim. Find the shortest path given a list of nodes, edges, and obstacles.

algorithms

amazon-sagemaker-rl-action-masking

Portfolio Management Model

amazon-textract-response-parser

Parse JSON response of Amazon Textract

apress-ai

architecting-high-performance-embedded-systems

asl_tutorial

Tutorials based on the ASL (American Sign Language) dataset

astar-algorithm

A* (Astar / A Star) search algorithm. Easy to use

awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

bfo

BFO repository including source code and latest documents

cardiovascular_heart_disease

cardiovascular_heart_disease

cbbt

Implementation of the paper "Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation" (EMNLP2023 Findings)

chat-gpt-jupyter-extension

A browser extension to provide various AI helper functions in Jupyter Notebooks, powered by ChatGPT.

cheatsheets

RStudio Cheat Sheets

cloud_py_api

Nextcloud framework for developing apps using Python

cloudsim

CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services

code

Simple Websites with Streamlit

computational-social-science

Materials associated with the Coding Demonstrations training series

covi-ml

Risk model training code for Covid-19 tracing application.

covid-19-deep-learning-cnn-model

Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.

covid19_projections

COVID-19 Projections Using Machine Learning

covid_p2p_risk_prediction

COVID19 P2P Risk Prediction Model & Dataset

crowdflower-airline-twitter-sentiment

cv-parsing-using-spacy-3

Resume and CV Summarization and Paring with Spacy in Python

data-engineering-books

Data_Engineering_With_Python

data-science-ml-full-stack

Full Stack Data Science Projects

data_science_bootcamp

Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.

deep-compressive-offloading

Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)