Gen Li's repositories
shap
A unified approach to explain the output of any machine learning model.
Network-Analysis-Made-Simple
For PyCon, PyData, ODSC, and beyond!
learn-pyspark
Source Code for 'Learn PySpark' by Pramod Singh
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
DeepNLPIntro2019
Deep learning for NLP introductory workshop materials
django-rest-framework-tutorial
Django-REST-framework 基本教學 - 從無到有 DRF-Beginners-Guide 📝
pydata_nyc2018-intro-to-model-interpretability
Notebook and slides for my talk at Pydata NYC 2018
StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
grpc-cpp-docker
Demonstrates how to use Docker to build and deploy a gRPC service implemented in C++
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
learning-apache-spark
Notes on Apache Spark (pyspark)
MonteCarloTutorial
Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling
advanced-crispy-forms-examples
Code examples from the blog post "Advanced Form Rendering with Django Crispy Forms"
Beginning-GraphQL
Fetch data faster and more efficiently whilst improving the overall performance of your web application
hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
av_example
Examples on how to use the alpha vantage library
omscs
Online Master of Science Computer Science (OMS CS) at Georgia Tech.
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
E-Books
Contains some of the E-Books for the field of Computer Engineering
connected-nx-tutorial
Repository for code and notebooks for the a NetworkX Tutorial