Popular GitHub Repositories for Zap

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

Speedy Wavenet generation using dynamic programming :zap:

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Flexible components pairing ? Transformers with :zap: Pytorch Lightning

:zap: :elephant: TextRank (resource-efficient and low-cost automatic text summarisation) for PHP

:zap: Cloud-native, AI-powered, document processing pipelines on AWS.

:zap: Finetune Wa2vec 2.0 For Speech Recognition

:zap: :books: Papers and other material for getting started with Neuro-AI! :brain: :boom:

Zap Notes is an AI-powered note-taking application for recording and analyzing thoughts, ideas, and tasks.

:zap: Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

:zap: Time series forecasting, anomaly detection with LSTM autoencoders & compression of stock market time series, written in Tensorflow.

Zap those pixels! ScaleX is your command-line buddy for making faces look ✨ FABULOUS ✨ using AI smarts. Built on cool tech like GFPGAN & Real-ESRGAN, but now with Python 3.12 super-speed, a slick CLI, and zero setup headaches!

Multi-agent system for simulating an Energy Market, with Consumers, Brokers, and Producers :zap::zap: In collaboration with @EdgarACarneiro and @xfontes42

Automated, repeatable vulnerability scanning for web applications using Playwright for authenticated browsing and OWASP ZAP for active and passive scanning.

This project provides examples, scripts, and best practices for integrating Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) into modern CI/CD pipelines. The goal is to catch vulnerabilities early, automate remediation feedback, and ensure secure delivery without slowing down development.

This project provides examples, scripts, and best practices for integrating Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) into modern CI/CD pipelines. The goal is to catch vulnerabilities early, automate remediation feedback, and ensure secure delivery without slowing down development.