aworleo's Stars
ddotta/modern-polars
Code and data for the Modern Polars book
ddotta/awesome-polars
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
tongakuot/polars-orbits
The Polars library has emerged as the most sought-after Python package in data science, owing to its impressive speed and dplyr-like syntax. In recognition of its potential, I have created a dedicated GitHub repository for Polars, where both experienced and budding data scientists and analysts can access a plethora of informative Polars tutorials.
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
armankhondker/best-leetcode-resources
This repository contains resources for technical coding interviews.
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
OrkoHunter/python-easter-eggs
Curated list of all the easter eggs and hidden jokes in Python
chiphuyen/coding-exercises
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
rasbt/machine-learning-notes
Collection of useful machine learning codes and snippets (originally intended for my personal use)
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
juliasilge/modelops-playground
Experiments and use cases for model monitoring and updating 🧮
orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
vandit15/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
zedr/clean-code-python
:bathtub: Clean Code concepts adapted for Python
shervinea/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
Developer-Y/technical-interviews
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
EbookFoundation/free-programming-books
:books: Freely available programming books
lauragift21/awesome-learning-resources
🔥 Awesome list of resources on Web Development.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning