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awesome-edge-machine-learning icon awesome-edge-machine-learning

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

crfasrnn-pytorch icon crfasrnn-pytorch

PyTorch implementation of Conditional Random Fields as Recurrent Neural Networks (CRFasRNN), ICCV 2015 for semantic segmentation.

imm-pytorch icon imm-pytorch

PyTorch implementation of "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.

interviews.ai icon interviews.ai

This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the interview process is the most significant hurdle between you and a dream job.

optimal-transport icon optimal-transport

A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.

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