Pinned Repositories
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's Repositories
kirk86/ML-Resources
Machine Learning Resources
kirk86/tensorflow-course
Tensorflow course by Stanford
kirk86/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
kirk86/DSPKM
This is the page for the book Digital Signal Processing with Kernel Methods.
kirk86/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
kirk86/notes
notes on different topics from ml to stats and vice versa
kirk86/tensorflow-white-paper-notes
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
kirk86/Artificial-Neural-Networks-with-Jupyter
Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook
kirk86/awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
kirk86/awesome-courses
:books: List of awesome university courses for learning Computer Science!
kirk86/awesome-deep-learning-papers
The most cited deep learning papers
kirk86/awesome-math
A curated list of awesome mathematics resources
kirk86/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
kirk86/awesome-very-deep-learning
A curated list of papers and code about very deep neural networks
kirk86/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
kirk86/bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
kirk86/bayesian-stats-talk
Doing Bayesian statistics in Python!
kirk86/context-encoder
Unsupervised Feature Learning by Image Inpainting
kirk86/examples
kirk86/ganhacks
starter from "How to Train a GAN?" at NIPS2016
kirk86/grad-cam
Gradient-based Visualization and Localization
kirk86/image-processing
kirk86/interpretability-papers
Papers on interpretable deep learning, for review
kirk86/nips2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
kirk86/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
kirk86/pytorch-fcn
PyTorch implementation of Fully Convolutional Networks
kirk86/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
kirk86/pytorch_examples
PyTorch Examples
kirk86/theano
theano models
kirk86/torch-toolbox
A collection of snippets and libraries for Torch from e-Lab