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Muhammet Mustafa Öz's Projects

adamixer icon adamixer

[CVPR 2022 Oral] AdaMixer: A Fast-Converging Query-Based Object Detector

cvat icon cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

dall-e icon dall-e

PyTorch package for the discrete VAE used for DALL·E.

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detr icon detr

End-to-End Object Detection with Transformers

dino icon dino

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

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

dm_control icon dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

mask_rcnn icon mask_rcnn

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

openvino_notebooks icon openvino_notebooks

📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓

pix2seq icon pix2seq

Pix2Seq - A general framework for turning RGB pixels into semantically meaningful sequences

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sahi icon sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

trackformer icon trackformer

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

whatsapp-web.js icon whatsapp-web.js

A WhatsApp client library for NodeJS that connects through the WhatsApp Web browser app

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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