Open source real-time translation app for Android that runs locally
- translator
- bluetooth-le
- realtime-translator
- android-app
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Open source real-time translation app for Android that runs locally
An asynchronous, callback-based Http client for Android built on top of Apache's HttpClient libraries.
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
Production ready toolkit to run AI locally
How to systematically secure anything: a repository about security engineering
Algorithmically generated triangle art
Template auto layout cell for automatically UITableViewCell height calculating
⚡ Dynamically generated, customizable SVG that gives the appearance of typing and deleting text for use on your profile page, repositories, or website.
Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events
Mockoon is the easiest and quickest way to run mock APIs locally. No remote deployment, no account required, open source.
Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.
Entitas is a super fast Entity Component System (ECS) Framework specifically made for C# and Unity
Automatically generate change log from your tags, issues, labels and pull requests on GitHub.
An open source, portable, easy to use, readable and flexible TLS library, and reference implementation of the PSA Cryptography API. Releases are on a varying cadence, typically around 3 - 6 months between releases.
🏆 Add dynamically generated GitHub Stat Trophies on your readme
Visualize call graph of a Go program using Graphviz
Your always-on AI coworkers that move between text, calls, and Slack.
Directory-based environments.
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.
Telegram for Windows
Automatically visualize your pandas dataframe via a single print! 📊 💡
Automatically generate Go test boilerplate from your source code.
A Rails form builder plugin with semantically rich and accessible markup.
Automatically generates beautiful and easy-to-read ER diagrams from your database.