hieu (HieuFromWaterloo)

HieuFromWaterloo

Geek Repo

Company:University of Waterloo

Location:Waterloo, ON, CA

Home Page:https://hieufromwaterloo.ca/

Twitter:@hq2ng

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hieu's repositories

Applied-Deep-Learning

Applied Deep Learning

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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machine-learning-systems-design

A booklet on machine learning systems design with exercises

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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manim

Animation engine for explanatory math videos

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ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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Python

All Algorithms implemented in Python

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researchAgent

Agent R0D1 is an autonomous research agent powered by Flask API. The end-to-end pipeline from containerization, pushing image to AWS ECR, and deployment to AWS ECS Fargate with a load balancer is fully automated with Github Actions.

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awesome_time_series_in_python

This curated list contains python packages for time series analysis

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data_eng_airflow_etl

This project demonstrates the construction of an end-to-end Python ETL (Extract, Transform, Load) pipeline using AWS services. The pipeline is designed to extract Toronto real estate property data from the Zillow Rapid API and process it through various AWS components, such as EC2, S3, Lambda, Redshift, and QuickSight

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reinforcement-learning-resources

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

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50projects50days

50+ mini web projects using HTML, CSS & JS

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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, ... 🧠

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BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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Clean-Code-Notes

My notes of Clean Code book

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coding-interview-university

A complete computer science study plan to become a software engineer.

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computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

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cs-video-courses

List of Computer Science courses with video lectures.

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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devops-directive-docker-course

Companion repo for complete Docker course

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devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

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interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

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kubernetes-learning-path

A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)

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llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

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machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

Examples of python neural net and ML stock prediction methods with sample stock data.

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system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

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