Nick Burns's repositories
tensorflow-probability-100days
100 Days of Experimenting with TensorFlow Probability
lingoai-tutorials
This repo is in it's early days. We'll use this for training and tutorials on things that we find interesting here at Lingo Search & AI
Adapter-BERT
Adapter Based BERT code which uses bottleneck adapters trained on relations from ConceptNet which acts as a source of external commonsense knowledge to improve downstream NLP task of multichoice reasoning
adapter-transformers
Huggingface Transformers + Adapters = ❤️
bert-for-tf2
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
cs231n.github.io
Public facing notes page
data-science-journey
There are no shortage of "intro to machine learning" blogs out there. Some are great! Most of them are reasonably straight-forward analyses of a dataset, using standard modelling approaches. Very few of them dig deeper and extend beyond these initial analyses.
deep-spectral-segmentation
Unsupervised Spectral Clustering for Semantic Segmentation
google-research
Google Research
intake-stac
Intake interface to STAC data catalogs
Interchange
Not quite sure where this is going yet...
itbreg
Introduction to Bayesian Regression Methods
JamesBondMovieTrailers
Part of the Udacity Nanodegree in Full Stack Web Development
keras-vision-transformer
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
msn
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
nfnets-Tensorflow-2
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
nlp-recipes
Natural Language Processing Best Practices & Examples
nz-energy-demand-forecasting
Forecasting of New Zealand's daily energy consumption
pet
This repository contains the code for "How many data points is a prompt worth?"
PortfolioSite
Project 1: Portfolio Site, Udacity Full Stack Webdevelopment Nanodegree
probability
Probabilistic reasoning and statistical analysis in TensorFlow
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
vicreg
VICReg official code base