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neo-sushi's Projects

demo-self-driving icon demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

diagrams icon diagrams

:art: Diagram as Code for prototyping cloud system architectures

doc2txt icon doc2txt

convert epub, pdf and docx to text file

dotfiles icon dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

dxy-covid-19-crawler icon dxy-covid-19-crawler

2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API

embedai icon embedai

An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks

evals icon evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

examples icon examples

Kubernetes application example tutorials

form-recognizer-toolkit icon form-recognizer-toolkit

Form Recognizer Toolkit (FRTK) provides a set of components and features to accelerate development based on Form Recognizer service.

gluetun icon gluetun

VPN client in a thin Docker container for multiple VPN providers, written in Go, and using OpenVPN or Wireguard, DNS over TLS, with a few proxy servers built-in.

kubescape icon kubescape

Kubescape is an open-source Kubernetes security platform for your IDE, CI/CD pipelines, and clusters. It includes risk analysis, security, compliance, and misconfiguration scanning, saving Kubernetes users and administrators precious time, effort, and resources.

langchain icon langchain

🦜🔗 Build context-aware reasoning applications

learn icon learn

The place to learn about the top technology, programming, web3, business, media, gaming, data science, finance, and cybersecurity stories from around the internet!

llama_index icon llama_index

LlamaIndex is a data framework for your LLM applications

llm-app icon llm-app

LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.

llmeval icon llmeval

Evaluate and compare large language models (LLMs) for chatbot applications, using various LLMs as evaluators, and manage prompt templates and binary preferences.

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