《Machine Learning Systems: Design and Implementation》 (V2 is launching soon)
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- software-architecture
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《Machine Learning Systems: Design and Implementation》 (V2 is launching soon)
TranslatedAnime magnet link acceleration solution (animeTrackerList)
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.
Incomplete Redis client and server implementation using Tokio - for learning purposes only
Tools and Techniques for Blue Team / Incident Response
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.
TranslatedMySQL Beginner's Tutorial (MySQL tutorial book)
🦩 Tools for Go projects
A collection of important graph embedding, classification and representation learning papers with implementations.
✨ A curated list of awesome threat detection and hunting resources 🕵️♂️
A curated list of hacking environments where you can train your cyber skills legally and safely
Design and development standards to align and guide your project.
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)
TranslatedMainly about big front-end technology, supplemented by reading notes, essays, and personal finance. Be a lifelong learner.
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.
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;
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
:ballot_box_with_check: [Cheatsheet] Tips and tricks for Android Development
Curated list of Agent Skills centered on people, relationships, commemorative scenes, and methodological perspectives
A collection of fun Flutter experiments, created by gskinner, in partnership with Google.
Red Teaming Tactics and Techniques
Deep Reinforcement Learning