kirk86

awesome-machine-learning-1

:book: List of some awesome university courses for Machine Learning! Feel free to contribute!

bdlood

Benchmarking Bayesian Deep Learning for Out-of-Distribution Detection

CambridgeMaths

lecture notes of a Cambridge mathmo

collections

Collection of random useful links over the internet

ImageRetrieval

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

matrix-cookbook

ML-Resources

Machine Learning Resources

notes-1

RAIOOD

On the Importance of Regularisation and Auxiliary Information in OOD Detection

wateramarking

Robust and secure watermarking scheme based on singular values replacement (SVD & DWT)

kirk86/LocNet

LocNet: Improving Localization Accuracy for Object Detection

kirk86/omniglot

Omniglot data set for one-shot learning

kirk86/Attentive_reader

Simple Attentive Reader Code

kirk86/autoencoding_beyond_pixels

Generative image model with learned similarity measures

kirk86/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

kirk86/conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

kirk86/convergent_learning

Code for paper "Convergent Learning: Do different neural networks learn the same representations?"

kirk86/dcgan_code

Deep Convolutional Generative Adversarial Networks

kirk86/diffmem

Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)

kirk86/dotfiles-1

:wrench: .files, including ~/.osx — sensible hacker defaults for OS X

kirk86/fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.

kirk86/GSN

Efficient implementation of Generative Stochastic Networks

kirk86/i-librarian

I, Librarian - collaborative PDF manager, which enables researchers, scholars, or students to create an annotated collection of PDF articles.

kirk86/ipynb_playground

Various ipython notebooks

kirk86/ipython-notebooks

A collection of IPython notebooks covering various topics.

kirk86/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

kirk86/Kaggle-Ensemble-Guide

Code for the Kaggle Ensembling Guide Article on MLWave

kirk86/morphing_faces

Repository for the Morphing Faces demo

kirk86/poole

The Jekyll Butler.

kirk86/python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

kirk86/readingpapers

A guide to reading scientific papers

kirk86/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

kirk86/stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

kirk86/summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

kirk86/theano_exercises

Exercises for my tutorials on Theano

kirk86/tutorials

A series of machine learning tutorials for Torch7

kirk86/VAE-Torch

Implementation of Variational Auto-Encoder in Torch7

kirk86/Variational-Autoencoder

Implementation of a variational Auto-encoder

kirk86/wide-residual-networks

95.8% and 80% on CIFAR-10 and CIFAR-100

kirk86/yobiblog

Fuck static blog generators. Only Github, only markdown, only hardcore!