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2-iris-detection-and-recognition

Use a skin detection and border detection technique for detect eye to get IRIS.

2dslidingwindow-attention-pytorch

PyTorch implementation of 2D sliding window attention

adgm

Code for Alternating Direction Graph Matching (ADGM)

adversarialnetspapers

The classical papers and codes about generative adversarial nets

ai-notebooks

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

ann

semantic segmentation，pytorch，non-local

atrous-benchmark

rough GPU benchmark for atrous vgg-vd-16 model in matconvnet

attention-in-attention-networks

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

autocrawler

Google, Naver multiprocess image web crawler (Selenium)

automatic-feature-learning

autometric

draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem

autonn

A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation

awesome-deep-learning-papers

The most cited deep learning papers

awesome-fast-attention

list of efficient attention modules

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bat-image-classification

This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".

batchrenormalization

Batch Renormalization algorithm implementation in Keras

bayesian-torch

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

bicubic_interp-tensorflow

A differentiable bicubic interpolation module for TensorFlow

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

bilinear-cnn-tensorflow

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

binary-nets

PyTorch implementation of binary neural networks

binarynet.pytorch

Binarized Neural Network (BNN) for pytorch

bpl

Bayesian Program Learning model for one-shot learning