Nick Burns's repositories
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
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.
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."
layer_masking
Code to reproduce our ICCV paper "Towards Improved Input Masking for Convolutional Neural Networks"
litgpt
Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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
NextViT-tf
A Tensorflow implementation of "Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios"
pycon2024
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
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)
sentinel2_superresolution
Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.
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
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
VICRegL
VICRegL official code base
WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks