moonkang's repositories
auto-sklearn
Automated Machine Learning with scikit-learn
autokeras
Accessible AutoML for deep learning.
awesome-deep-learning-papers
The most cited deep learning papers
awesome-distributed-systems
A curated list to learn about distributed systems
black
The uncompromising Python code formatter
DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
gitbook
Documentation synced with GitBook. For all issues with the wandb library, please use https://github.com/wandb/client/issues
grokking-system-design
Grokking system design
KDD-2019-Hands-on
DGL tutorial in KDD 2019
langchain
🦜🔗 Build context-aware reasoning applications
lit
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
MIMIC_Extract
MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
modin
Modin: Speed up your Pandas workflows by changing a single line of code
pylift
Uplift modeling package.
PySyft
A library for encrypted, privacy preserving machine learning
ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
recommenders
Best Practices on Recommendation Systems
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).