AidForBlind
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Various Libraries used like OpenCV and other mentioned in Requirements.txt
for any further info contact Email : [email protected]
Discord: VENGE4NCE#3847
New AidForBlind - Various Libraries used like OpenCV and other mentioned in Requirements.txt
Overview
FSL-Mate: A collection of resources for few-shot learning (FSL).
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Repository of 3D Object Detection with Pointformer (CVPR2021)
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Rank1 Conversation Emotion Detection Task
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2 Nov 28, 2021
This is the official code for the paper "Ad2Attack: Adaptive Adversarial Attack for Real-Time UAV Tracking".
Ad^2Attack：Adaptive Adversarial Attack on Real-Time UAV Tracking Demo video 📹 Our video on bilibili demonstrates the test results of Ad^2Attack on se
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Generate images from texts. In Russian
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This is a Keras implementation of a CNN for estimating age, gender and mask from a camera.
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EqGAN - Improving GAN Equilibrium by Raising Spatial Awareness
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Self-Supervised Learning with Kernel Dependence Maximization
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Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Densely Connected Convolutional Networks (DenseNets) This repository contains the code for DenseNet introduced in the following paper Densely Connecte
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MiniSom is a minimalistic implementation of the Self Organizing Maps
MiniSom Self Organizing Maps MiniSom is a minimalistic and Numpy based implementation of the Self Organizing Maps (SOM). SOM is a type of Artificial N
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An LSTM based GAN for Human motion synthesis
GAN-motion-Prediction An LSTM based GAN for motion synthesis has a few issues reading H3.6M data from A.Jain et al , will fix soon. Prediction of the
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Source code for paper "ATP: AMRize Than Parse! Enhancing AMR Parsing with PseudoAMRs" @NAACL-2022
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs Hi this is the source code of our paper "ATP: AMRize Then Parse! Enhancing AMR Parsing w
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PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer
Official code Cross-Covariance Image Transformer (XCiT)
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Improved Fitness Optimization Landscapes for Sequence Design
ReLSO Improved Fitness Optimization Landscapes for Sequence Design Description Citation How to run Training models Original data source Description In
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A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery
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SeqTR: A Simple yet Universal Network for Visual Grounding
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Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning The predictive learning of spatiotemporal sequences aims to generate future
243 Dec 26, 2022
This package contains a PyTorch Implementation of IB-GAN of the submitted paper in AAAI 2021
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LTR_CrossEncoder: Legal Text Retrieval Zalo AI Challenge 2021
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CvT2DistilGPT2 is an encoder-to-decoder model that was developed for chest X-ray report generation.
CvT2DistilGPT2 Improving Chest X-Ray Report Generation by Leveraging Warm-Starting This repository houses the implementation of CvT2DistilGPT2 from [1
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