instances
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
orthoseg
OrthoSeg makes it easy to train neural networks to segment orthophotos.
catalyst
Accelerated deep learning R&D
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
easyfsl
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
mxnet.sharp
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
sc2-benchmark
[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"
gandetection
Detecting GAN generated Images using Convolutional Neural Networks
satellighte
📡 PyTorch Lightning Implementations of Recent Satellite Image Classification !
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
medfm_submission_only
Solution for NeurIPS 2023 - MedFM Challenge
https://github.com/albumentations-team/albumentationsx
Next-generation Albumentations: dual-licensed for open-source and commercial use
hugsvision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
targetran
Python library for data augmentation in object detection or image classification model training
gcvit
Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer
mish
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
sinfnet
A collection of datasets and neural networks for microorganism image classification
PyTrx
PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
flyswot
Command Line Interface for running 🤗 Transformers Image Classification locally
cgvsphoto
Computer Graphics vs Real Photographic Images : A Deep-learning approach
backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
https://github.com/autodistill/autodistill-clip
CLIP module for use with Autodistill.
pyro-vision
Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)
https://github.com/autodistill/autodistill-fastvit
FastViT base model for use with Autodistill.
https://github.com/nsembleai/nsvision
nsvision is the image data pre and post processing and data augmentation library. It provides utilities for working with image data.
https://github.com/aryashah2k/image-blur-detection
Repository holding internship assessment code files for ML Engineer Intern Position at CloudSek.
master-thesis-rcm
Code for Master Degree thesis on the feasibility of automatic sensitive content detection in colonial photographic archives through Image Classification algorithms.
3d-viz-score-cam
Visualizing 3D ResNet for Medical Image Classification With Score-CAM
https://github.com/aidinhamedi/pytorch-img-classification-trainer-v2
This repository provides a robust and flexible framework for training image classification models using PyTorch. It's designed to be highly customizable and easy to use, allowing you to run experiments with different models, data augmentation techniques, and training configurations.
kg-mm-survey
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
https://github.com/centre-for-humanities-computing/artful-image-analysis
CHCAA's introductory workshop on image retrieval and computer vision
https://github.com/cptanalatriste/pooch-detector
A convolutional neural network that detects dog breeds
vayuai
Vayuvahana Technologies Private Limited presents to you VajraV1, a state-of-the-art (SOTA) real time object detection model
https://github.com/atharvapathak/computer_vision_linear_regression_projects
This repository consists of some basic Computer Vision & Linear Regression Projects.
paperclipinspection
Analyzing Paper Clips Using Deep Learning and Computer Vision Techniques 📎
https://github.com/agamiko/neural-based-data-augmentation
Improving generalization via style transfer-based data augmentation: Novel regularization method
insect-detect-ml
Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.
documentarist
Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents
intro-image-classification-cnn
new lesson on image classification with convolutional neural networks
https://github.com/hcmlab/tf-transferlearning-benchmarks
Image classification transfer learning experiments on mobile / embedded hardware
machine-learning-neural-python
Introduction to artificial neural nets with Python
gpvit
[ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
ic-uda-final-project
Final Project for the Unstructured Data Analysis module in the MSc. Machine Learning and Data Science Course
https://github.com/dimits-ts/deep_vision_domain_adaptation
Unpublished paper focusing on the effects of pseudo-labeling without specialized models and supporting algorithms. Includes presentation slides, paper, experiments and task-specific preprocessing/pseudo-labeling library.
classical-quantum-mnist
Single pixel imaging with classical and quantum neutral network
bias.myti.report
A visualization tool to facilitate the comparison of user-implemented bias mitigation methods for AI models
pace_oci_toolkit
Google Earth Engine (GEE) JavaScript-based tools for working with NASA PACE OCI data
maltese-christian-statue-classifier
An AI initiative project, the Maltese Christian Statue (MCS) Classifier preserves and celebrates Maltese religious culture by accurately classifying 17 distinct categories of Christian statues, fostering deeper understanding and appreciation for the Maltese Culture.
chimeramix
Official PyTorch implementation for ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing (IJCAI 2022)
cnn-and-residual-connections-for-cow-teat-image-classification
Paper Name: Convolutional Neural Networks and Residual Connections for Cow Teat Image Classification. Testing the impact of Convolutional Neural layers and Residual Conections in the accuracy of dairy Cows Teat Imaga classification Dataset from and testing software: https://github.com/YoushanZhang/SCTL
champkit
Benchmarking toolkit for patch-based histopathology image classification.
yolic-labeling
The YOLIC Image Annotation Tool is a user-friendly software designed to support the You-Only-Look-at-Interested-Cells (YOLIC) methodology for real-time detection based on cell-wise segmentation.
infernocalibnet
Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.
agml
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
hyperspectral_toolkit
Google Earth Engine (GEE) JavaScript-based tools for working with various hyperspectral datasets (e.g., AVIRIS, EMIT, Hyperion, PACE OCI)
quantum-optical-neuron
A quantum optical setup to classify objects without reconstructing their images.
https://github.com/christophreich1996/maxvit
PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [ECCV 2022].