keithsu0215

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Airbnb-neural-network-price-prediction

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

awesome-gradient-boosting

A curated list of Gradient Boosting resources for Data Scientists

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

diabetes_readmission

Predicting hospital readmission for patients with diabetes

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

kedro

A Python framework for creating reproducible, maintainable and modular data science code.

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

ProjectPrediction

pytorch_challenge

RedisAI

A Redis module for serving tensors and executing deep learning graphs

snorkel

A system for quickly generating training data with weak supervision

tutorials

CatBoost tutorials repository

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

d6tflow

Python library for building highly effective data science workflows

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.