yangxxinyi

yangxxinyi's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k949243.7k

• eugeneyan/ml-surveys

  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

  2.8k1542289

• eugeneyan/ml-design-docs

  📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

  55414297

• eugeneyan/testing-ml

  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

  Language:Python2547048

• eugeneyan/papermill-mlflow

  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

  Language:Jupyter Notebook1744035

• eugeneyan/python-collab-template

  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.

  Language:Python1435140

• eugeneyan/recsys-nlp-graph

  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.

  Language:Python1356429

• eugeneyan/eugeneyan

  Language:Python406115

• datasciencesg/knowledge-base

  Knowledge base for DSSG. Learning Materials, MOOCs, Code Sharing.

  Language:HTML3423010

• eugeneyan/poc-docker-template

  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.

  Language:Jupyter Notebook222010

• eugeneyan/nocode-ml

  😝 End-to-end machine learning; "no code" required!

  12305

• eugeneyan/deep-rl

  Repository for deep reinforcement learning with OpenAI

  Language:Python6303

• eugeneyan/kaggle_springleaf

  Code for Kaggle Springleaf Email Prediction Challenge

  Language:Python5302

• eugeneyan/DeepLearningBook

  MIT Deep Learning Book in PDF format

  4402

• eugeneyan/workshop

  AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

  Language:Jupyter Notebook4205

• eugeneyan/kaggle_titanic

  Code for Kaggle Titanic Challenge (and other learning)

  Language:HTML3302

• eugeneyan/neural_networks_and_deep_learning

  2302

• eugeneyan/scratch

  Language:Jupyter Notebook2301

• eugeneyan/DKSG-HOME

  Sharing my R script used in the DKSG DataLearn for home

  Language:R130

• eugeneyan/kaggle_otto

  Code for Kaggle Otto Production Classification Challenge

  Language:R1301

• eugeneyan/Misc

  Language:R130

• eugeneyan/mooc-setup

  Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

  130

• eugeneyan/py_ml_utils

  Some small utility modules to help with pandas, numpy and sklearn usage in other projects

  Language:Python1302

• eugeneyan/tensorflow-mnist

  Tensorflow MNIST example using Dataset API

  Language:Python130

• eugeneyan/xgboost

  Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.

  Language:C++130