Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.

Overview

Nicely-Interface

Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities. According to epidemiological surveys, the lifetime prevalence of depression in China is 6.8%, and the number of people suffering from depression is currently about 100 million. Approximately 280,000 people commit suicide each year, and 40% of them suffer from depression and anxiety.

Nicely aims to address this problem in a innovation way. By using passive user profile analytics, Nicely visuallize internet activity to emotional reports and advices.

Markov Attention Models

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Code of the paper "Shaping Visual Representations with Attributes for Few-Shot Learning (ASL)".

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the code of the paper: Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)

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This repository accompanies the ACM TOIS paper "What can I cook with these ingredients?" - Understanding cooking-related information needs in conversational search

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DiscoNet: Learning Distilled Collaboration Graph for Multi-Agent Perception [NeurIPS 2021]

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Haze Removal can remove slight to extreme cases of haze affecting an image

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PyTorch implementation of UPFlow (unsupervised optical flow learning)

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Simple helper library to convert a collection of numpy data to tfrecord, and build a tensorflow dataset from the tfrecord.

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Evaluating AlexNet features at various depths

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Multi Camera Calibration

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An efficient PyTorch implementation of the evaluation metrics in recommender systems.

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Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

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⚡ H2G-Net for Semantic Segmentation of Histopathological Images

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