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Maksim Osminin

@Octopusmode · User

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Developer, CV engineer, Automation Engineer; Additive technology hobbyist

Saint Petersburg State University of Industrial Technologies and DesignSaint-Petersburg6 followers45 repositories

Repositories

Octopusmode/YOLOv8-3D

YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10

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Octopusmode/TPDNE-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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Octopusmode/advanced_logger

Обёртка для logger с функциями удобного вывода сообщений

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Octopusmode/CORL

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

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Octopusmode/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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Octopusmode/darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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Octopusmode/yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

★ 0Jupyter NotebookForks 0