Code for GNMR in ICDE 2021

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Deep LearningGNMR
Overview

GNMR

Code for GNMR in ICDE 2021

Please unzip data files in Datasets/MultiInt-ML10M first.

Run labcode_preSamp.py (with graph sampling) for ECommerce-click and run labcode.py (without graph sampling) for other datasets and predicting targets.

Default arguments are for Yelp-Click

Jittor implementation of Recursive-NeRF: An Efficient and Dynamically Growing NeRF

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A lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look At CoefficienTs)

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Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2

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The Empirical Investigation of Representation Learning for Imitation (EIRLI)

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Python implementation of Bayesian optimization over permutation spaces.

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Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021

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Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

This repository is used to suspend the results of our paper "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement"

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Stock-Prediction - prediction of stock market movements using sentiment analysis and deep learning.

Stock-Prediction- In this project, we aim to enhance the prediction of stock market movements using sentiment analysis and deep learning. We divide th

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Near-Duplicate Video Retrieval with Deep Metric Learning

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Alias-Free Generative Adversarial Networks (StyleGAN3) Official PyTorch implementation

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code associated with ACL 2021 DExperts paper

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Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

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Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)

This repo contains code for our paper State-only Imitation with Transition Dynamics Mismatch published at ICLR 2020. The code heavily uses the RL mach

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Unofficial PyTorch implementation of the Adaptive Convolution architecture for image style transfer

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PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

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Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift (ICCV 2021)

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UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems

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