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/ImageRetrieval
Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)
kirk86/awesome-machine-learning-1
:book: List of some awesome university courses for Machine Learning! Feel free to contribute!
kirk86/collections
Collection of random useful links over the internet
kirk86/notes-1
kirk86/aaai18-tutorials
aaai18 tutorials
kirk86/algos
Algorithms
kirk86/bdlood
Benchmarking Bayesian Deep Learning for Out-of-Distribution Detection
kirk86/pyprojects
python projects
kirk86/RAIOOD
On the Importance of Regularisation and Auxiliary Information in OOD Detection
kirk86/academ
hugo demo website
kirk86/AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
kirk86/ARS
An implementation of the Augmented Random Search algorithm
kirk86/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
kirk86/awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
kirk86/awesome-rl
Reinforcement learning resources curated
kirk86/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
kirk86/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
kirk86/calibration
Calibration of neural networks on simple MLP models in TensorFlow
kirk86/d2l-en
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
kirk86/devdotfiles
Quick setup of ubuntu and arch dev server
kirk86/emacs.d
Minimalistic emacs config
kirk86/kaggle
Kaggle competitions participated
kirk86/kirk86.github.io
Keeping track of random thoughts and time!
kirk86/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
kirk86/papers
Command-line tool to manage bibliography (pdfs + bibtex)
kirk86/probprog18
kirk86/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
kirk86/pytorch-gpu-benchmark
Using the famous cnn model in Pytorch, we run benchmarks on various gpu.
kirk86/randomfun
Notebooks and various random fun
kirk86/tftutorials
Tensorflow tutorials