Pinned Repositories
Applied-Deep-Learning
Applied Deep Learning
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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
Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
deeplearning-models
A collection of various deep learning architectures, models, and tips
DeepLearningTutorial
Tutorial on a number of topics in Deep Learning
machine-learning-systems-design
A booklet on machine learning systems design with exercises
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
reinforcement-learning-resources
A curated list of awesome reinforcement courses, video lectures, books, library and many more.
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.
HieuFromWaterloo's Repositories
HieuFromWaterloo/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.
HieuFromWaterloo/Applied-Deep-Learning
Applied Deep Learning
HieuFromWaterloo/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
HieuFromWaterloo/coursera-generative-ai-large-language-models
Cousera - Generative AI with Large Language Models (LLMs) Notes
HieuFromWaterloo/machine-learning-systems-design
A booklet on machine learning systems design with exercises
HieuFromWaterloo/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
HieuFromWaterloo/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
HieuFromWaterloo/Python
All Algorithms implemented in Python
HieuFromWaterloo/awesome_time_series_in_python
This curated list contains python packages for time series analysis
HieuFromWaterloo/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
HieuFromWaterloo/reinforcement-learning-resources
A curated list of awesome reinforcement courses, video lectures, books, library and many more.
HieuFromWaterloo/50projects50days
50+ mini web projects using HTML, CSS & JS
HieuFromWaterloo/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, ... 🧠
HieuFromWaterloo/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
HieuFromWaterloo/Clean-Code-Notes
My notes of Clean Code book
HieuFromWaterloo/coding-interview-university
A complete computer science study plan to become a software engineer.
HieuFromWaterloo/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
HieuFromWaterloo/cs-video-courses
List of Computer Science courses with video lectures.
HieuFromWaterloo/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
HieuFromWaterloo/devops-directive-docker-course
Companion repo for complete Docker course
HieuFromWaterloo/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
HieuFromWaterloo/hieufromwaterloo_page
HieuFromWaterloo/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
HieuFromWaterloo/kubernetes-learning-path
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
HieuFromWaterloo/llm-applications
A comprehensive guide to building RAG-based LLM applications for production.
HieuFromWaterloo/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
HieuFromWaterloo/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
HieuFromWaterloo/relevant-search-book
Code and Examples for Relevant Search
HieuFromWaterloo/Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
HieuFromWaterloo/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.