Built something? We create video reels & spotlights for GitHub projects.Promote your project →
Home / Developers / loveisp
Developer Profile

loveisp

Discovered public repositories for loveisp in the GitHub catalog.

↗

loveisp/rcnn

R-CNN: Regions with Convolutional Neural Network Features

↗

loveisp/nnForge

Convolutional and fully-connected neural networks C++ library. It features CPU and GPU (CUDA) backends

↗

loveisp/spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

↗

loveisp/caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

↗

loveisp/HPOlib

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt

↗

loveisp/world

Free open public domain football data (football.db) for use in any (programming) language (e.g. uses plain text fixtures/data sets)

↗

loveisp/POSA-14

This repository contains assignments and examples for the 2014 offering of the POSA MOOC (see www.coursera.org/course/posa for more information)

↗

loveisp/vowpal_wabbit

John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm

↗

loveisp/zmPDSwR

Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)

↗

loveisp/2048

A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)

FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.