jrzaurin Goto Github PK

.emacs.d

asciidoctor-pdf

:page_with_curl: Asciidoctor PDF: A native PDF converter for AsciiDoc based on Asciidoctor and Prawn, written entirely in Ruby.

autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

automl_multimodal_benchmark

Repository for Multimodal AutoML Benchmark

courseradata

coursera course 'Getting and Cleaning Data'

data-science-blogs

A curated list of data science blogs

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-trading

Algorithmic trading with deep learning experiments

deepo

A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.

dl-meetup-intro

Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015

elegy

Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.

emacs-websocket

A websocket implementation in elisp, for emacs.

ethnicity-tensorflow

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fastai

The fastai deep learning library

flowanalysis23snaps

get_clean_peer_assess

Peer Assessment Project from Coursera Getting and Cleaning Data course

graphgan

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

infinitoml

kaggle

kagglebootcamp

NYC Data Science Bootcamp -- Kaggle project with Sara, Nico and Shu

kdd-2018-hands-on-tutorials

KDD Hands-On Tutorial (2018)

kdd18-gluon

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightgbm-with-focal-loss

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

machine_learning_manchesterr

R scripts relating to talk on machine learning in R at Manchester R User Group