zoudj Goto Github PK

animation

A gallery of animations in statistics and utilities to create animations

archivist

A set of tools for datasets and plots archiving

basemaptutorial

A Basemap tutorial for ReadTheDocs

bayesiantutorials

Implementing MCMC sampling from scratch in R for various Bayesian models

circulo

Community Detection Research Effort

coding-the-matrix-1

The Coursera course Coding the Matrix: Linear Algebra through Computer Science Applications by Philip Klein

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Convolutional Neural Networks

deepevolve

Rapid hyperparameter discovery for neural nets using genetic algorithms

drake

An R-focused pipeline toolkit for reproducibility and high-performance computing

football-player-tracking

Soccer player tracking system

generative_art

A collection of my generative artwork, mostly with Processing in Python mode

generativeart

Create Generative Art with R

gifsicle

Create, manipulate, and optimize GIF images and animations

git_practice

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

infer

An R package for tidyverse-friendly statistical inference

keygraph

keygraph show oey word of documents

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lobstr

Understanding complex R objects with tools similar to str()

mandalas

Mandalas in R

matchit

R package MatchIt

matchitext

This is an extension of 'MatchIt' package in R.

mathart

Create mathematical art with R

models

Models and examples built with TensorFlow

myproject

nba_api

An API Client package to access the APIs for NBA.com

ncaahoopr

An R package for working with NCAA Basketball Play-by-Play Data

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nlp-in-practice

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.