StamatisOrfanos

pytorch-image-models

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

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

vision_transformer

Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Swin-Transformer-Object-Detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

deep_q_rl

Theano-based implementation of Deep Q-learning

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

MADRL

Repo containing code for multi-agent deep reinforcement learning (MADRL).

Deep-Reinforcement-Learning-Algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

DeepRL-TensorFlow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

pytorch-fpn

Feature Pyramid Networks in PyTorch

CV_ToolBox

data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC

Deep-Q-Learning

Tensorflow implementation of Deepminds dqn with double dueling networks

small-object-detection-benchmark

icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

flask-admin-boilerplate

Flask Admin Boilerplate with MongoDB

SSD_MobileNet

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection

Extensible-Object-Detection-Evaluator

A simple and extensible object detection evaluator in COCO style.

EFPN-detectron2

Annotation-Converters

This Repo covers all formats of annotations for Object Detection and can easily convert from one form to another using attached scripts

COCO-to-YOLO

Object Detection Data Preprocessing: Converts COCO labels to YOLO labels format

YOLO-Object-Detection

YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection

EFPN-pytorch

object_detection_COCO

This repo uses pre-trained SSD MobileNet V3 model to detect objects belonging to 80 different classes in images and videos

flask-pymongo-web-app-example

A simple example of a Python-based web application using flask and pymongo

SOD_Thesis

This is the repository that contains the implementation of my Master's Thesis