Gans-in-action - Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

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GANs in Action
Deep learning with Generative Adversarial Networks by Jakub Langr and Vladimir Bok
GANs in Action
Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

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Official implementation of "Refiner: Refining Self-attention for Vision Transformers".

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A object detecting neural network powered by the yolo architecture and leveraging the PyTorch framework and associated libraries.

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Hyperopt for solving CIFAR-100 with a convolutional neural network (CNN) built with Keras and TensorFlow, GPU backend

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CLIPImageClassifier wraps clip image model from transformers

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Must-read Papers on Physics-Informed Neural Networks.

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Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

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Bridging Composite and Real: Towards End-to-end Deep Image Matting

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A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation.

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ML powered analytics engine for outlier detection and root cause analysis.

Website • Docs • Blog • LinkedIn • Community Slack ML powered analytics engine for outlier detection and root cause analysis ✨ What is Chaos Genius? C

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Minimal implementation of Denoised Smoothing: A Provable Defense for Pretrained Classifiers in TensorFlow.

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Code accompanying "Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity," accepted to IEEE SSCI ICES 2021

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Automated Evidence Collection for Fake News Detection

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Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity

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Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System

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A tool for calculating distortion parameters in coordination complexes.

OctaDist Octahedral distortion calculator: A tool for calculating distortion parameters in coordination complexes. https://octadist.github.io/ Registe

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Keep CALM and Improve Visual Feature Attribution

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High-fidelity 3D Model Compression based on Key Spheres

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[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

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Official pytorch implementation of Rainbow Memory (CVPR 2021)

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

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