Vasil Filipov (vakkov)

vakkov

Geek Repo

Location:Bulgaria/ UK

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Vasil Filipov's repositories

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CTranslate2

Fast inference engine for Transformer models

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DeepHash

Deep Hashing expermiments

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DeepHash-1

An Open-Source Package for Deep Learning to Hash (DeepHash)

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easy-faster-rcnn.pytorch

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

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EEP-TPU-SDK

Includes compiler and library for EEPTPU, you can develop your own application and run it on your board with EEPTPU IP.

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efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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EfficientDet.Pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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efficientnetv2_torchvision

An EffficientNet repo that works with torchvision v0.12

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GIouloss_CIouloss_caffe

Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression

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gpipsfs

GPI Point Spread Function (PSF) Simulation Toolkit

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HOIM-PyTorch

Hierarchical Online Instance Matching for Person Search (AAAI'20)

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ida_pro_7.5.2

IDA pro cracked 7.5.2

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kaggle_salt_bes_phalanx

Winning solution for the Kaggle TGS Salt Identification Challenge.

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opentapioca

Entity linking system for Wikidata updated by your edits in real time

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pyninjotiff

python library for writing Ninjo-compatible TIFF files

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pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

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robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

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SGRN_torch

Spatial-aware Graph Relation Network for Large-scale Object Detection

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snake

Code for "Deep Snake for Real-Time Instance Segmentation"

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tooth-detection

šŸ¦· Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

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Tracklet-Association-Unsupervised-Deep-Learning

Pytorch code for Tracklet Association Unsupervised Deep Learning (TAUDL)

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u-boot

"Das U-Boot" Source Tree

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xray-denoising

Contains code for our paper accepted in NeurIPS 18 workshop ML4H.

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