Papers from the computer science community to read and discuss.
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Papers from the computer science community to read and discuss.
A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.
TranslatedTo Be Top Javaer - The Road to Becoming a God-Tier Java Engineer
Video discussing this curriculum:
📺 Discover the latest machine learning / AI courses on YouTube.
A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
GTFOBins is a curated list of Unix-like executables that can be used to bypass local security restrictions in misconfigured systems.
Community curated list of templates for the nuclei engine to find security vulnerabilities.
TranslatedWeekly Go Online Meetup via Bilibili|Go Night Reading|Share Go-related technical topics through live streaming on Bilibili, and every day everyone communicates and discusses programming topics in a timely way on WeChat/Telegram/Slack.
TranslatedA collection of AI painting resources (including platforms usable in China and abroad, usage tutorials, parameter tutorials, deployment tutorials, industry news, and more) Stable diffusion, AnimateDiff, Stable Cascade, Stable SDXL Turbo
A comprehensive curated list of available Bug Bounty & Disclosure Programs and Write-ups.
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.
Full Stack Web Development with Flask.
A library of common data structures and algorithms written in C.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Here we collect and discuss the best DeFI & Blockchain researches and tools. Feel free to DM me on Twitter or open pool request.
A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems
A big list of Android Hackerone disclosed reports and other resources.
[DISCONTINUED] Collection of awesome resources for the A-Frame WebVR framework.