Lists (29)
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Algo & DS 🏕️
Algoritms and data structures resourcesApps & Tools
General purpose webapps and toolsASR 🎙️
Audio transcription toolsAwesome Lists⭕
Books
C++👨🏻💻
Cpp related thingsCG 🧊
compprog🏟️
🧱CUDA
CV📸
DL eng⚙️
Deep learning engineeringDL learning📖
From scratch🛠️
Models implementations from scratchGeospatial🗺️
Geospatial related thingsHallucinations
High value🔝
Repos with good material to learnJava ☕
💠julia
Math🟰
Misc🗑️
NLP🈁
Python 🐍
Python tutorials and librariesRe💡
Read list 📖
Things I plan to read (maybe)RL👮🏻
Robotics 🤖
Rust 🦀
🎓Thesis
Web dev🕸️
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Starred repositories
Modern JavaScript Tutorial
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
A fast, clean, responsive Hugo theme.
Repository for the book "Crafting Interpreters"
A minimal, responsive, and feature-rich Jekyll theme for technical writing.
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
3D force-directed graph component using ThreeJS/WebGL
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Nullboard is a minimalist kanban board, focused on compactness and readability.
Data Science at the Command Line
🌎 machine learning tutorials (mainly in Python3)
🤖 Machine Learning Summer School Guide
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
😎 List of helpful resources added by the community for the community!
Source for https://fullstackdeeplearning.com
Gazebo database of SDF models. This is a predecessor to https://app.gazebosim.org
Resources for Learning Spring
A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
Open-source framework for the research and development of foundation models.
A bestiary of evolutionary, swarm and other metaphor-based algorithms
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.