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xrosliang's Projects

maml icon maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

manim icon manim

Animation engine for explanatory math videos

manim-tutorial-cn icon manim-tutorial-cn

manim中文教程,如果想系统地学习一些用法欢迎进入我的疫情期间搭建的博客

mantranet icon mantranet

ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features

marank icon marank

Multi-order Attentive Ranking Model for Sequential Recommendation

mario-level-1 icon mario-level-1

The first level of Super Mario Bros made with Python and Pygame.

marketbias icon marketbias

data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20

masa-sr icon masa-sr

MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)

mask-rcnn icon mask-rcnn

Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf

mask_ad icon mask_ad

Mask R-CNN for detecting and blurring advertising on streets.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskflownet icon maskflownet

[CVPR 2020] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

maskfusion icon maskfusion

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

masktextspotterv3 icon masktextspotterv3

The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

mass icon mass

MASS: Masked Sequence to Sequence Pre-training for Language Generation

mast icon mast

MAST: A Memory-Augmented Self-supervised Tracker (CVPR 2020)

matchingnetworks icon matchingnetworks

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

matchzoo icon matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

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