TensorFlow tutorials and best practices.
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🔍 A collection of interesting, funny, and depressing search queries to plug into shodan.io 👩💻
- shodan
- infosec
- pentesting
- iot
TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
- accelerator
- ai-infra
- ai-infrastructure
- book
HumHub is an Open Source Enterprise Social Network. Easy to install, intuitive to use and extendable with countless freely available modules.
- social-network
- php
- awesome
- humhub
SwiftUI sample app using Clean Architecture. Examples of working with SwiftData persistence, networking, dependency injection, unit testing, and more.
- swiftui
- swift
- architecture
- clean-architecture
Recurrent Neural Network - A curated list of resources dedicated to RNN
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.
🎁 A glib-like multi-platform c library
- stream
- coroutines
- algorithm
- cross-platform
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Curated list of awesome GAN applications and demo
- generative-adversarial-network
- curated-list
- applications
- demonstration
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
A curated list of awesome network analysis resources.
- network-analysis
- network-visualization
- complex-networks
- political-networks
Awesome-Cellular-Hacking
- sdr
- lte
- eviltwin
- lte-evil-twin
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
Best practices for segmentation of the corporate network of any company
- segmentation-network
- network-segmenation
- network-security
- firewalling
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.
List of articles related to deep learning applied to music
- awesome
- awesome-list
- unicorns
- list
A curated list of resources for Learning with Noisy Labels
- noisy-labels
- label-noise
- deep-neural-networks
- noisy-data
A curated list of network embedding techniques.
- network-embedding
- representation-learning
- graph-embeddings
- knowledge-graph