Paper Code:A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection
Overview
What can linearized neural networks actually say about generalization?
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PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
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Source for the paper "Universal Activation Function for machine learning"
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Covid19-Forecasting - An interactive website that tracks, models and predicts COVID-19 Cases
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A script helps the user to update Linux and Mac systems through the terminal
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The implementation for the SportsCap (IJCV 2021)
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FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
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HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
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Task-related Saliency Network For Few-shot learning
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DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
Responsible Machine Learning With Great Power Comes Great Responsibility. Voltaire (well, maybe) How to develop machine learning models in a responsib
Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
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SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
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Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
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PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
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Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"
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Unsupervised phone and word segmentation using dynamic programming on self-supervised VQ features.
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a generic C++ library for image analysis
VIGRA Computer Vision Library Copyright 1998-2013 by Ullrich Koethe This file is part of the VIGRA computer vision library. You may use,
This is an official implementation for "PlaneRecNet".
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A playable implementation of Fully Convolutional Networks with Keras.
keras-fcn A re-implementation of Fully Convolutional Networks with Keras Installation Dependencies keras tensorflow Install with pip $ pip install git