A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
TranslatedList of telegram groups, channels & bots (interesting ones) // List of chats for programmers
Translated💻 A space for studying to build knowledge as a junior developer 👨💻
- developer
- android
- computer-science
- interview
the resources I use to learn computer science in my spare time
A comprehensive Python cheat sheet with code examples, built-in functions, module references, and hands-on labs by LabEx.
- python
- hands-on
- labex
- labs
Machine Learning and Computer Vision Engineer - Technical Interview Questions
- computer-vision-interview-questions
- data-science-interview
- data-science-interview-questions
- data-science-interviews
Implementation of Instagram with Material Design (originally based on Emmanuel Pacamalan's concept)
Conceitos de Código Limpo adaptados em JavaScript (Tradução PT-BR)
- javascript
- clean-code
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
The 3rd edition of course.fast.ai
- data-science
- fastai
- deep-learning
- pytorch
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
CSS Reference: a free visual guide to the most popular CSS properties
- css
- reference
- jekyll-site
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
CSS talks you have to see covering CSS Grid, flexbox, custom variables, performance, frameworks, tooling, and more! 📺
- css
- awesome-lists
- conference-talks
- css-grids
TranslatedA rundown of iOS performance optimization: memory leaks, stuttering, network, GPU, battery, App package size reduction, launch speed optimization, etc., advanced Instruments techniques, and common optimization skills - Get — Edit
Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
:bathtub: Clean Code concepts adapted for Python
Translated📚 Classic computer programming books, "big black books", programming e-books, e-books, programming books, including classic e-books on computer fundamentals, C/C++, Java, Python, interview questions, architecture design, algorithm series, and more.
This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.
- cheat-sheets
- knowledge-base
- second-brain
TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions
- kaggle
- data-competition
- data-science
- deep-learning
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
- pytorch
- image-classification
- deep-learning
- cifar100
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
- data-science
- machine-learning
- deep-learning
- data-portfolio
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
- reinforcement-learning
- machine-learning
- artificial-intelligence
- deep-reinforcement-learning