nickb-

BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

dash_doodler

Doodler. A web application built with plotly/dash for image segmentation with minimal supervision. Plays nicely with segmentation gym, https://github.com/Doodleverse/segmentation_gym

deep-spectral-segmentation

Unsupervised Spectral Clustering for Semantic Segmentation

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

EMP-SSL

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

global-canopy-height-model

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

google-research

Google Research

HighResCanopyHeight

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

intake-stac

Intake interface to STAC data catalogs

layer_masking

Code to reproduce our ICCV paper "Towards Improved Input Masking for Convolutional Neural Networks"

LLMs-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

MachineLearning-QandAI-book

Machine Learning Q and AI book

ml-engineering

Machine Learning Engineering Guides and Tools

msn

Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

Next-ViT

NextViT-tf

A Tensorflow implementation of "Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios"

nickb-.github.io

remote-sensing-datasets

Remote sensing datasets for machine and deep learning, model deployment & software

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

simpool

This repo contains the official implementation of ICCV 2023 paper "Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?"

STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

t-simcne

Unsupervised visualization of image datasets using contrastive learning

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

vicreg

VICReg official code base

VICRegL

VICRegL official code base

WeightWatcher

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks