Quan Duong's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
bitcoinbook
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
cartopy
Cartopy - a cartographic python library with matplotlib support
CD4ML-Scenarios
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
cd4ml-workshop
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
clay
Clay is a framework for building RESTful backend services using best practices. It’s a wrapper around Flask.
cpr
C++ Requests: Curl for People, a spiritual port of Python Requests
dr-elephant
Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark
dragnet
Just the facts -- web page content extraction
featran
A Scala feature transformation library for data science and machine learning
gensim
Topic Modelling for Humans
guardrail
Build LLM apps safely and securely🛡️
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
list-of-python-api-wrappers
List of Python API Wrappers and Libraries
machine-learning-systems-design
A booklet on machine learning systems design with exercises
ml-ci-cd-demo
A demo continuous delivery pipeline for machine learning models
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
pycon-apac2018
slides and code notebook for pycon apac 2018
quandb.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ray
A high-performance distributed execution engine
rest.li
Rest.li is a REST+JSON framework for building robust, scalable service architectures using dynamic discovery and simple asynchronous APIs.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker