JoyUgoyah's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
CorentinJ/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
FlowiseAI/Flowise
Drag & drop UI to build your customized LLM flow
numpy/numpy
The fundamental package for scientific computing with Python.
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
resemble-ai/Resemblyzer
A python package to analyze and compare voices with deep learning
https-deeplearning-ai/tensorflow-1-public
sfermigier/awesome-functional-python
A curated list of awesome things related to functional programming in Python.
MarcSkovMadsen/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
microsoft/PowerBI-Developer-Samples
A collection of Power BI samples for developer use.
jrieke/best-of-streamlit
🏆 A ranked gallery of awesome streamlit apps built by the community
aapatel09/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
chinasatokolo/csGraduateFellowships
A curated list of fellowships for graduate students in Computer Science and related fields.
julianazanelatto/power_bi_analyst
amitchandakpbi/powerbi
Power BI Tutorials Files
Dhruvinshah16/Power-BI
Here, I will provide different Power BI Sample files and data source files to user.
locluong09/petroleum-production-prediction
The final project at university using machine learning and deep learning to predict oil and gas production
sayanbanerjee992/Network-based-Intrusion-Detection-System
The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1903.02460.pdf research paper. I have performed both binary and multi-class classification to predict the presence of any intrusion-based signal. If present, then which type of signal is present in the network. I have used various techniques like under sampling and over sampling because of the imbalances in the dataset, then train the model using Machine Learning techniques like Logistic Regression, Random Forest, XGBoost. Lastly built a web application and deploy it to AWS using AWS EC2 instance
flo7up/relataly-public-python-API-tutorials
Beginner-friendly collection of Python API tutorials, including Twitter data, COVID-19 data, and price information on stocks and cryptocurrencies.. All APIs are free. Check for related tutorials on relataly.com blog.
pycaret/powerbi-anomaly-detection
Tutorial to implement Anomaly Detection in Power BI using PyCaret
saurav-joshi/statistical-inferences
Evaluate Boston housing data set using statistical inferences Clone the repository and navigate to the downloaded folder.
niconielsen32/3D-Net-Traffic-Monitoring
hidayatfahmi16/maleo-flask
Web application for machine learning in petroleum industry
pik1989/Power-BI-Tutorial
EteimZ/LLM_Stack
A repo containing various sample code of technologies built around LLMs
michaelegbujua/Sales_Analysis_Project
This project is a personal project to demonstrate my understanding on python libraries such pandas, numpy, matplotlib in business intelligence
saechaol/network-intrusion-detector
Software to detect network intrusions protects a computer network from unauthorized users, including perhaps insiders. This project aims to build an AI-basedn etwork Intrusion Detection System (IDS), a predictive model distinguishing between bad connections, called intrusions or attacks, and good normal connections.