NBStephens

netron

Visualizer for neural network, deep learning and machine learning models

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

rembg

Rembg is a tool to remove images background

techniques

Techniques for deep learning with satellite & aerial imagery

umap

Uniform Manifold Approximation and Projection

grip

Preview GitHub README.md files locally before committing them.

sam-hq

Segment Anything in High Quality [NeurIPS 2023]

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

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."

Torch-Pruning

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

Detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

what_are_embeddings

A deep dive into embeddings starting from fundamentals

SpectralCluster

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

surgeon-pytorch

A library to inspect and extract intermediate layers of PyTorch models.

over9000

Over9000 optimizer

Rotated_IoU

Differentiable IoU of rotated bounding boxes using Pytorch

G.pt

Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"

satellite-imagery-labeling-tool

This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

Satellite-Image-Time-Series-Datasets

This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.

yoltv5

YOLT, now with PyTorch.

SpectFormers

optformer

lsnms

Large Scale Non maximum Suppression. This project implements a O(nlog(n)) approach for non max suppression, useful for object detection ran on very large images such as satellite or histology, when the number of instances to prune becomes very large.

olliePy

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

clip-rocket

Code release for "Improved baselines for vision-language pre-training"

DIT

[TNNLS] Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction

parallel_dbscan

Python module for the parallel dbscan based on NWU code

clipping-benchmarks

Benchmarking Sutherland-Hodgman clipping in a few languages