kirk86

A work in progress! All aspects computation.

jmitros.github.io

Pinned Repositories

awesome-machine-learning-1
:book: List of some awesome university courses for Machine Learning! Feel free to contribute!
18 1 012
bdlood
Benchmarking Bayesian Deep Learning for Out-of-Distribution Detection
Language:Jupyter Notebook1 1 00
CambridgeMaths
lecture notes of a Cambridge mathmo
2 1 00
collections
Collection of random useful links over the internet
5 2 00
ImageRetrieval
Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)
Language:MATLAB56 12 354
matrix-cookbook
6 1 02
ML-Resources
Machine Learning Resources
3 1 01
notes-1
4 2 04
RAIOOD
On the Importance of Regularisation and Auxiliary Information in OOD Detection
Language:Jupyter Notebook0 0 00
wateramarking
Robust and secure watermarking scheme based on singular values replacement (SVD & DWT)
Language:MATLAB54 7 318

kirk86's Repositories

kirk86/torch.github.io
Torch's web page.
Language:HTML
kirk86/seq2seq-attn
Sequence-to-sequence model with LSTM encoder/decoders and attention
Language:Lua
kirk86/rltorch
A RL package for Torch that can also be used with openai gym
Language:Lua
kirk86/InfoGAN
Language:Python
kirk86/awesome-torch
A curated list of awesome Torch tutorials, projects and communities
kirk86/improved-gan
code for the paper "Improved Techniques for Training GANs"
Language:Python
kirk86/requests-for-research
A living collection of deep learning problems
Language:HTML
kirk86/adversarial-1
Exploring the Space of Adversarial Images
Language:FORTRAN
kirk86/summerschool2016
Montréal Deep Learning Summer School 2016 material
Language:Jupyter Notebook
kirk86/Autoencoders
Torch implementations of various types of autoencoders
Language:Lua
kirk86/mac-dev-setup
A beginner's guide to setting up a development environment on Mac OS X
Language:Shell
kirk86/gconv_experiments
Experiments with Group Equivariant Convolutional Networks
Language:Python
kirk86/GrouPy
Group Equivariant Convolutional Neural Networks
Language:Python
kirk86/densecap
Dense image captioning in Torch
Language:Jupyter Notebook
kirk86/ConvLSTM
Spatio-temporal video autoencoder with convolutional LSTMs
Language:Lua
kirk86/autograd
Efficiently computes derivatives of numpy code.
Language:Python
kirk86/torch_examples
[adversarial] examples and training cost
Language:Lua
kirk86/DropNeuron
DropNeuron: Simplifying the Structure of Deep Neural Networks
Language:Python
kirk86/algorithms_in_ipython_notebooks
A repository with IPython notebooks of algorithms implemented in Python.
Language:Jupyter Notebook
kirk86/ENet-training
Language:Lua
kirk86/deep-reinforcement-learning-papers
A list of papers and resources dedicated to deep reinforcement learning
kirk86/demos
Demos and tutorials around Torch7.
Language:Lua
kirk86/deep-reinforcement-learning-papers-1
A list of recent papers regarding deep reinforcement learning
kirk86/sampyl
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Language:Jupyter Notebook
kirk86/icml2016
Generative Adversarial Text-to-Image Synthesis
Language:Lua
kirk86/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
Language:Python
kirk86/convolutional_autoencoder
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
Language:Jupyter Notebook
kirk86/intro-to-tensorflow
This is an introduction to tensorflow
Language:Jupyter Notebook1
kirk86/Dynamic-memory-networks-in-Theano
Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
Language:Python
kirk86/adaptive-neural-compilation
Language:Lua