Kirill Emelyanov's repositories

convblock

Pytorch based library for creating deep learning models in few lines of code

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dataset

Dataset helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

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deeplearning-papernotes

Summaries and notes on Deep Learning research papers

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HomolgousSplit

HomolgousSplit

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keras_rmac_plus

Keras implementation of R-MAC+ descriptors

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LASER

Language-Agnostic SEntence Representations

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-ssd

Single Shot MultiBox Detector in PyTorch [deprecated]

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ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

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Optional

optional (nullable) objects for C++14

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PytorchSSD

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

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Results

Results

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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