nickb-
Data scientist based in Nelson, NZ. Enjoy working with our clients to develop data & machine-driven solutions to tough problems.
Pinned Repositories
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 = ❤️
aurum-datadiscovery
bert-for-tf2
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
cs231n.github.io
Public facing notes page
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
tensorflow-probability-100days
100 Days of Experimenting with TensorFlow Probability
nickb-'s Repositories
nickb-/tensorflow-probability-100days
100 Days of Experimenting with TensorFlow Probability
nickb-/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
nickb-/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
nickb-/adapter-transformers
Huggingface Transformers + Adapters = ❤️
nickb-/aurum-datadiscovery
nickb-/bert-for-tf2
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
nickb-/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
nickb-/cs231n.github.io
Public facing notes page
nickb-/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.
nickb-/deep-spectral-segmentation
Unsupervised Spectral Clustering for Semantic Segmentation
nickb-/google-research
Google Research
nickb-/intake-stac
Intake interface to STAC data catalogs
nickb-/Interchange
Not quite sure where this is going yet...
nickb-/itbreg
Introduction to Bayesian Regression Methods
nickb-/JamesBondMovieTrailers
Part of the Udacity Nanodegree in Full Stack Web Development
nickb-/keras-vision-transformer
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
nickb-/msn
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
nickb-/nfnets-Tensorflow-2
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
nickb-/nlp-recipes
Natural Language Processing Best Practices & Examples
nickb-/nz-energy-demand-forecasting
Forecasting of New Zealand's daily energy consumption
nickb-/pet
This repository contains the code for "How many data points is a prompt worth?"
nickb-/PortfolioSite
Project 1: Portfolio Site, Udacity Full Stack Webdevelopment Nanodegree
nickb-/probability
Probabilistic reasoning and statistical analysis in TensorFlow
nickb-/SCOAR
nickb-/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
nickb-/vicreg
VICReg official code base