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awesome_ai

This aims to organize the latest AI research that I have been learned

basic_stock_prediction

co-training

creep_block_simulator

densebox

few_shot

finegrained-pose

fnn_paper

Paper writing for feedback neural networks

human-pose-estimation

[CVPR 2011] Matlab code for Articulated Human Pose Estimation with Flexible Mixtures-of-Parts

landmarkbasednav

layered-segmentation

[CVPR 2010] Matlab code for Layered Object Detection for Multi-Class Segmentation

practice

proxemics-recognition

[CVPR 2012] Matlab code for Recognizing Proxemics in Personal Photos

segmentation_attention

sequential_chance_constrained

[OR 2011] Matlab code for Sequential Convex Approximations to Joint Chance Constrained Programs

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

stock_estimate

video_motion

video_motion2

video_motion3

This is a continuation of video_motion2 to optimize gpu memory usage during training in order to fit larger images and complicated models

video_motion4

This is a continuation of video motion 3 that will implement more synthetic videos

video_motion_mnist

video_motion_synthetic

video_motion_synthetic2

video_motion_synthetic3

vision_language

xworld_learning

yangyi02.github.io

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