This is a movies sample app in Kotlin, which is part of a serie of blog posts I have written about architecting android application using different approaches.
- android
- architectural
- lessons-learned
- android-cleanarchitecture-kotlin
Repository Index
81,588 visible repositories in the index
1,297–1,320 of 4,917 · Most stars
🦩 Tools for Go projects
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
✨ A curated list of awesome threat detection and hunting resources 🕵️♂️
Translated【Must-read】The most comprehensive collection of PyTorch learning resources ever
- pytroch
- awesome
- deep-learning
- neural-network
TranslatedRUN · 润 (Run, "to slip away; to emigrate"): A handbook for overseas relocation for Chinese passport holders. 110 immigration routes across 36 European countries + 13 major immigration regions: digital nomad visas, EU Blue Card, skilled migration, study-to-work, entrepreneurship and self-employment, investment residency, each with official sources, continuously updated.
- china
- chinese
- digital-nomad
- digital-nomad-visa
The repository host gives no description.
A curated list of hacking environments where you can train your cyber skills legally and safely
A Developer Roadmap to becoming a Node.js developer in 2019
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
- data-science
- machine-learning
- deep-learning
- data-portfolio
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
TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions
- kaggle
- data-competition
- data-science
- deep-learning
TranslatedMainly about big front-end technology, supplemented by reading notes, essays, and personal finance. Be a lifelong learner.
🚗 A curated list of resources for learning about vehicle security and car hacking.
- vehicle-security
- car-hacking
- hacking-vehicles
- security
Curso para aprender el lenguaje de programación Java y Programación Orientada a Objetos (POO) desde cero y para principiantes. 75 lecciones, más de 8 horas en vídeo y 150 ejercicios prácticos.
- curso
- java
- tutorial
- poo
The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.
- python
- flask
- webapp
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
- face-detection
- face-alignment
- face-recognition
- face-reconstruction
TranslatedLearn Shiro with me (my official account: kaitao-1234567, my new book: 《Core Technologies of Architecture for Websites with Hundreds of Millions of Traffic》)
- shiro
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
- reinforcement-learning
- machine-learning
- artificial-intelligence
- deep-reinforcement-learning
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
- gpt-3
- prompting
- prompt-engineering
- gpt3
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
A curated list of awesome Go storage projects and libraries
- awesome
- awesome-list
- golang
- storage
TranslatedA beginner's bible for AI that doesn't play at being obscure or cater to a niche few, easy to grasp for everyone from students to engineers. It covers neural networks to large models, top-level design to micro-level principles, and engineering implementation to algorithm fundamentals. After studying it, you will thoroughly understand why the seemingly unremarkable ability of next-token prediction can change the world, and you will also discover that AI is not as mysterious or as unattainable as imagined. Let's just beat it !
- ai
- engineering
- llm
- neural-network
Red Teaming Tactics and Techniques
- redteam
- pentesting
- redteaming
- redteam-infrastructure