DeshuaiWang

AppliedNLPMaterial

This is the repo for the online course "Applied NLP"

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

awesome-gpt-prompt-engineering

A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

clean-code-course-code

Code and attachments for our clean code course (https://acad.link/clean-code)

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

generative-ai-design-patterns

A catalog of design patterns when building generative AI applications

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

DeshuaiWang/AppliedNLPMaterial

This is the repo for the online course "Applied NLP"

DeshuaiWang/awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

DeshuaiWang/awesome-gpt-prompt-engineering

A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.

DeshuaiWang/awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

DeshuaiWang/clean-code-course-code

Code and attachments for our clean code course (https://acad.link/clean-code)

DeshuaiWang/deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

DeshuaiWang/generative-ai-design-patterns

A catalog of design patterns when building generative AI applications

DeshuaiWang/generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

DeshuaiWang/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

DeshuaiWang/llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

DeshuaiWang/LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

DeshuaiWang/Machine-Learning-and-Data-Science

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

DeshuaiWang/Machine-Learning-Engineering-with-Python-Second-Edition

DeshuaiWang/machine-learning-specialization-andrew-ng

A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.

DeshuaiWang/mlops-on-gcp

DeshuaiWang/Spoon-Knife

This repo is for demonstration purposes only.

DeshuaiWang/llm-twin-course

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴