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Achievement: QuickdrawAchievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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Valdanitooooo/README.md

Hi there 👋 I'm Valdanito 👨‍💻

Profile
Blog
Gifootball
Bilibili

📊 Stats and Activity

👀
Valdanito :: Visitor's Count

Valdanito's github stats

🗒️ My last 4 DEV articles

🧰 Tools and technologies that I have worked with and am interested in

😉 I use marktext and github.dev to edit these complex markdown tables

🏷️ GitHub Topics

#llmops #cicd #devops #graph-algorithms #analytics #vim #tui #knowledge-graph #data-science #graph #llm #algorithm #awesome #football #graph-database

👨‍💻 Programming Languages, Markup Languages and Frameworks
Java
JavaScript
Python
R
Lua
go
RDF
GraphQL
Bash
Spring Ecosystem
JHipster
Hibernate
Spark
Jena
Airflow
Node.js
Node-RED
Shiny
FastAPI
Gradio
DeepSpeed
LangChain
LlamaIndex
PyTorch
Transformers
Chainlit
LangGraph

⛓️ Middlewares
Nginx
OpenResty
Keycloak
Consul
Elasticsearch
Redis
Kafka
RabbitMQ
Canal

🗄️ Databases
MySQL
PostgreSQL
MongoDB
SQLite
ClickHouse
Neo4j
TigerGraph
Dgraph
NebulaGraph
Doris

⚙️ DevOps Tools
Docker
Kubernetes
Helm
Maven
Gradle
nvm
Miniforge
Github
GitLab
Jenkins
GitHub Actions
SonarQube
Jaeger
MinIO
Prometheus
Grafana
Logstash
JMeter
AWS
Alibaba Cloud
Azure
Jira
Discourse
Zulip
FastChat
Ollama
🚅
LiteLLM
Open WebUI
vLLM
Xinference
RAGFlow

💻 Software and Tools
Vim
VSCode
IntelliJ IDEA
PyCharm
Oh My Zsh
k9s
Cyan
axel
Firecamp
Excalidraw
draw.io
Mermaid
Tampermonkey
MarkText
Pot
Asciinema
Peek
Kap
Flameshot
OBS
Jitsi Meet

Pinned Loading

  1. gifootball gifootball Public

    CSS

  2. llm-chainlit-playground llm-chainlit-playground Public

    A Lightweight LLM Playground developed using the Chainlit framework.

    Python

  3. chat_with_qwen2_vl_test chat_with_qwen2_vl_test Public

    Python 5

  4. openai-compatible-api-proxy openai-compatible-api-proxy Public

  5. knowledge-hub knowledge-hub Public

    Valdanito's Knowledge Hub

  6. RMBG2-docker RMBG2-docker Public

    Quickly run a web interface and API service based on the RMBG-2.0 model.

    Python