eugeneyan

my-cs-degree

A CS degree I designed for myself, 2020

awesome-mlops

A curated list of references for MLOps

nocode-ml

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

awesome-fastapi

A curated list of awesome things related to FastAPI

design-patterns

deep-rl

Repository for deep reinforcement learning with OpenAI

kaggle_springleaf

Code for Kaggle Springleaf Email Prediction Challenge

ama

Ask Me Anything

DeepLearningBook

MIT Deep Learning Book in PDF format

workshop

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

kaggle_titanic

Code for Kaggle Titanic Challenge (and other learning)

Statistical-Inference

This repository contains the lab assignments for the facilitation of John Hopkins University' Coursera MOOC on Statistical Inference.

Statistical-Learning

Stanford OpenX: Introduction to Statistical Learning

model_test

A proof of concept library for generating and running machine learning model tests

neural_networks_and_deep_learning

scratch

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

devtools-angels

active angel investors in developer tools!

DKSG-HOME

Sharing my R script used in the DKSG DataLearn for home

eslint-plugin-react

React specific linting rules for ESLint

eugeneyan-comments

json-to-utterances

kaggle_otto

Code for Kaggle Otto Production Classification Challenge

Misc

mooc-setup

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

py_ml_utils

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

tensorflow-mnist

Tensorflow MNIST example using Dataset API

xgboost

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

dssg

dssg

IPython-notebook-extensions

Some js extension for IPython notebook