Hi My name is Will, so glad to see you visit my page. Hope you can enjoy this place.

My badget

- ⚡ Proficient in: Python, SQL - ⚡ Average in: HTML/CSS, JS, ABAP - ⚡ Beginner in: C++, C#

- 🌱 I’m currently learning Deep Learning, Full Stack (Django), Node.js, Vue3, AWS cloud, IBM cloud.

- 🔭 Currently Testing the Llama(meta LLM).

- **My Contributions**

Languages and tools:

Property	Data
Language	Python, SQL, NOSQL, ABAP, JavaScript, Html/CSS
IDE Prefer	Viusal Studio Code, Visual Studio, PyCharm, Jupyter, Spyder
Domain Knownledge	ML, DataBase, Office Automation, Web Scritping, SAP Scritping, Fullstack(Django), SupplyChain, SAP ERP (MM, FI)
WEB Knownledge	Python: [Django, Flask]. JavaScript: [Node.js, Vue, Express, React]. Other: [Postman, TCP/IP/Docker].
CI / CD	Github, Git
Cloud/Platform	IBM Cloud
Databases	MySQL, MSSQL, SQLite, Pyodbc(python)
OS	Windows, Ubuntu(Linux)
Machine Learning	Scikit-Learn, Matplotlib, Tensorflow, Transformers

My home: San Jose

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**Django Skill** **Bootstrap 3, Echart**

Current has been deployed in Company.

# This a early version.

I did many view in here if you want, you can visit this to see. https://github.com/gostjoke/Foxconn_OT_system/tree/main

files

Separate Views

Llama2 7B-hf try

link of Llama2 7B chat-hf test

- Still Working, More function will be added recenely;

Next Verson will use Vue3 + Django to separate Frontend and Beckend. Fox_SaaS_System

Dashboard One

Framework

Will's Projects

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

c-sharp

C# practicing

coursesa

Coursesa Certification

deep-learning

ANN, CNN practicing T

django-vue-tutorial

用 django-rest-framework 和 vue 搭建前后端分离的个人博客

get-things-done-with-prompt-engineering-and-langchain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.