📖 Design Patterns implemented in Swift 5.0
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📖 Design Patterns implemented in Swift 5.0
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.14. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
Translated:scroll: 33 concepts every JavaScript engineer should know @leonardomso
This repo hosts Prowler OSS (CLI and Local Server). Prowler is the world’s most widely used open-source cloud security platform that automates security and compliance across any cloud environment for Humans and AI Agents.
🎨 The exhaustive Pattern Matching library for TypeScript, with smart type inference.
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
A fast JSON parser/generator for C++ with both SAX/DOM style API
Translatedstock. Get stock data, calculate stock indicators, chip distribution, identify stock patterns, comprehensive stock selection, stock selection strategies, stock verification and backtesting, automatic stock trading, supports PC and mobile devices.
Invoicing, Time tracking, File reconciliation, Storage, Financial Overview & your own Assistant made for Freelancers
A computer algebra system written in pure Python
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Beginner, advanced, expert level Rust training material
Your new Mentor for Data Science E-Learning.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Application designed to optimize, customize and enhance your Windows experience.
Python Implementation of Reinforcement Learning: An Introduction
Fast passive subdomain enumeration tool.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
🚫💩 — Run tasks like formatters and linters against files staged in Git
macOS video editor built for AI
A curated list of awesome big data frameworks, ressources and other awesomeness.
Database governance built for humans and agents — controlling changes and access across every major database.
Vert.x is a tool-kit for building reactive applications on the JVM
Sub-50mb agentic, voice and vision intelligence for consumer devices.