baraths84

baraths84's Stars

• milvus-io/milvus

  Milvus is a high-performance, cloud-native vector database designed to scale.

  Language:Go31.5k28412.4k3k

• explodinggradients/ragas

  Supercharge Your LLM Application Evaluations 🚀

  Language:Python7.7k39944783

• microsoft/TaskWeaver

  A code-first agent framework for seamlessly planning and executing data analytics tasks.

  Language:Python5.4k66215694

• cucumber/cucumber-jvm

  Cucumber for the JVM

  Language:Java2.7k2131.5k2k

• yahoo/gryffin

  Gryffin is a large scale web security scanning platform.

  Language:Go2.1k14723233

• donejs/donejs

  Your app. Done.

  Language:JavaScript1.3k81739164

• YahooArchive/xss-filters

  Secure XSS Filters.

  Language:JavaScript1.1k5217137

• lastmile-ai/aiconfig

  AIConfig is a config-based framework to build generative AI applications.

  Language:Python9741318181

• yahoo/webseclab

  set of web security test cases and a toolkit to construct new ones

  Language:Go91163766

• zilliztech/VectorDBBench

  A Benchmark Tool for VectorDB

  Language:Python59116132161

• basdijkstra/wiremock-workshop

  Open source workshop teaching you the basics of WireMock

  Language:Java11811144

• PacktPublishing/Full-Stack-Development-with-JHipster

  Full Stack Development with JHipster, published by Packt

  Language:Java10416158

• papandreou/seespee

  Create a Content-Security-Policy for a website based on the statically detectable relations

  Language:JavaScript75564

• moengage/alice

  Auto Code Monitoring and 24x7 assistant to respond/perform tasks on your behalf

  Language:Python5515019

• yahoo/context-parser

  A robust HTML5 context parser that parses HTML 5 web pages and reports the execution context of each character.

  Language:HTML4120714

• SrinivasanTarget/KubeGrid

  KubeGrid - Kubernetes way of orchestrating Docker-Selenium Grid

  34508

• steinathan/shai

  shai is a command line utility that allows you to interact with your computer using natural language.

  Language:Python23100

• clab2024/clab

  LlamaWorksDB is a Retrieval Augmented Generation (RAG) product designed to interact with the documentation of various products such as LlamaIndex, Fireworks, MongoDB, git repositories, and cookbooks. This project was developed by team CLAB (Chris, Leo, Andrew, Barath)

  Language:Jupyter Notebook15113

• stepanogil/autonomous-mall-assistant

  An autonomous Mall assistant that can answer user queries using tools. Powered by LLMs.

  Language:Jupyter Notebook14301

• Leoid/CodeReviewCS

  Language:C#8501

• alcfeoh/di-node-js

  Node.JS training (2 days)

  Language:JavaScript7508

• rcandidosilva/microservices-security

  Language:Java6324

• RayofLightz/bowser

  A script to dynamically map and create checksums for third party JavaScript on a site.

  Language:Python5314

• cjoakim/azure-cosmos-db-ts-web

  Express-based web application, implemented in TypeScript, using the azu-js NPM package. Featuring Azure Cosmos DB, et al.

  Language:TypeScript3302

• gursev/whitepapers

  My whitepaper repository

  2301

• forwardtech/mtls

  mTLS implementation in Go

  Language:Go11

• hemapriyas84/quickdnsfinder

  This DNS tool helps to lookup the name servers of a domain

  Language:Java1