BigData
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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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Precise Multi-Neuron Abstractions for Neural Network Certification

Github : https://github.com/eth-sri/eran

Paper: https://arxiv.org/abs/2103.03638v1

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Virtual Try-on via Distilling Appearance Flows, CVPR 2021

Github: https://github.com/geyuying/PF-AFN

Paper: https://arxiv.org/abs/2103.04559

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TransTrack: Multiple-Object Tracking with Transformer

Github: https://github.com/PeizeSun/TransTrack

Paper: https://arxiv.org/abs/2012.15460v1

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All Machine Learning Algorithms You Should Know in 2021

https://www.kdnuggets.com/2021/01/machine-learning-algorithms-2021.html

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Involution: Inverting the Inherence of Convolution for Visual Recognition

Github: https://github.com/d-li14/involution

Paper: https://arxiv.org/abs/2103.06255

OpenMMLab: https://openmmlab.com/

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CRSLab

is an open-source toolkit for building Conversational Recommender System (CRS)

Github: https://github.com/RUCAIBox/CRSLab

Paper: https://arxiv.org/pdf/2101.00939.pdf

Documentation: https://crslab.readthedocs.io/en/latest/?badge=latest

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Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous-variable quantum optical circuits.

Github: https://github.com/XanaduAI/strawberryfields

Paper: https://arxiv.org/pdf/2103.05530v1.pdf

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MagFace: A Universal Representation for Face Recognition and Quality Assessment

Github: https://github.com/IrvingMeng/MagFace

Paper: https://arxiv.org/abs/2103.06627

Code example: https://github.com/IrvingMeng/MagFace/blob/main/inference/examples.ipynb

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Ultimate Guide To Loss functions In PyTorch With Python Implementation

https://analyticsindiamag.com/all-pytorch-loss-function/

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Corner Case Description and Detection

Github: https://github.com/thouyang/ccd-dsa

Paper: https://arxiv.org/abs/2101.02494

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Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Github: https://github.com/hkchengrex/MiVOS

Paper: https://arxiv.org/pdf/2103.07941v1.pdf

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