aondra17's Stars
ashishps1/awesome-low-level-design
Learn Low Level Design (LLD) and prepare for interviews using free resources.
tssovi/grokking-the-object-oriented-design-interview
DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
hbacard/chatdoc-plus
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
astral-sh/ruff
An extremely fast Python linter and code formatter, written in Rust.
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School Guide
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
shakedzy/dython
A set of data tools in Python
sdmg15/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
nima-siboni/RLlib-with-Dict-State
A minimal example demonstrating how to use RLlib with states which are presented as dictionaries
thegeekyb0y/learnpython
Python Resources for Everyone
Kristories/awesome-guidelines
A curated list of high quality coding style conventions and standards.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.