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/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)
HieuFromWaterloo/DeepLearningTutorial
Tutorial on a number of topics in Deep Learning
HieuFromWaterloo/Graphs_Explore
Spectral Graph Theory & Graph Signal Processing
HieuFromWaterloo/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
HieuFromWaterloo/AdvancedMachineLearning
HieuFromWaterloo/bayesplot
bayesplot R package for plotting Bayesian models
HieuFromWaterloo/Blog_Flask
HieuFromWaterloo/DataScience-JHKS
HieuFromWaterloo/datasharing
The Leek group guide to data sharing
HieuFromWaterloo/DeepLearning-RNN
Experiments
HieuFromWaterloo/eikondataapi
HieuFromWaterloo/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
HieuFromWaterloo/misc_files
Miscellaneous files, mostly from my old Deloitte computer.
HieuFromWaterloo/mladvanced-notebooks
Notebook files for the Advanced ML (CSE610) course by Varun Chandola
HieuFromWaterloo/nlp_papers
NLP papers applicable to financial markets
HieuFromWaterloo/realornot
kag20 nlp
HieuFromWaterloo/reinforcement-learning-1
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
HieuFromWaterloo/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
HieuFromWaterloo/stat441_project
HieuFromWaterloo/telegram_dafud
HieuFromWaterloo/tensorflow
An Open Source Machine Learning Framework for Everyone
HieuFromWaterloo/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
HieuFromWaterloo/tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
HieuFromWaterloo/TensorflowInPractice
HieuFromWaterloo/transformer-xl
HieuFromWaterloo/Tutorial-Arima-w-jeffrey-yau