rezarex's Stars
torvalds/linux
Linux kernel source tree
HackSoftware/Django-Styleguide
Django styleguide used in HackSoft projects
opendevlog/tweetgenerator
Generate dynamic and AI-powered tweets using the ChatGPT model.
Team-folio/TeamFolio
This is the working url for our MVP
SPLWare/esProc
esProc SPL is a scripting language for data processing, with well-designed rich library functions and powerful syntax, which can be executed in a Java program through JDBC interface and computing independently.
keystroke3/Unbox
A script to automatically configure ubuntu server for day to day usage
HarunMbaabu/Data-Science-For-EveryOne
Data Science boot camp aims to make the field of data science accessible and understandable to a wide range of individuals, regardless of their background or expertise.
HarunMbaabu/Awesome-Analytics-Engineering
An awesome Analytics Engineering repository to learn and apply for real world problems.
mindsdb/mindsdb
The platform for building AI from enterprise data
LuxDevHQ/Mastering-Technical-Writing-3-Week-Free-Boot-Camp
LuxDevHQ/Getting-Started-with-Scala-A-Beginner-Guide
Getting Started with Scala: A Beginner's Guide.
ArslanYM/DataStructrues-Algo
Sharing what I'm learning everyday in Data Structures And Algorithms.
reflex-dev/reflex
πΈοΈ Web apps in pure Python π
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
rondinellimorais/facial-expression-recognition
HarunMbaabu/Deploy-Machine-Learning-Model-WIth-Flask-and-Deta-Space
A step-by-step guide to build a credit card fraud detection machine learning model and deploying it using Flask and deta.sh.
cepalium/daily-coding-problems
Solutions of Daily Coding Problems
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
trekhleb/homemade-machine-learning
π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
faridrashidi/kaggle-solutions
π Collection of Kaggle Solutions and Ideas π
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
EddieHubCommunity/BioDrop
Connect to your audience with a single link. Showcase the content you create and your projects in one place. Make it easier for people to find, follow and subscribe.
HarunMbaabu/Data-Processing-With-Python-Guide