Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"

Overview
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Raschka Research Group
Computational Statistics, Machine Learning, and Deep Learning Research Group @ UW Madison
Raschka Research Group
Machine Learning Time-Series Platform

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Weakly-supervised object detection.

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Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)

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Hack Camera, Microphone, Location, Clipboard With Just a Link. Also, Get Many Details About Victim's Device. And So On...

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A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).

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Accurate Phylogenetic Inference with Symmetry-Preserving Neural Networks

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An off-line judger supporting distributed problem repositories

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[CVPR'21] Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

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A simple log parser and summariser for IIS web server logs

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Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation

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Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

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[CVPR'21 Oral] Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning

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Implementation for NeurIPS 2021 Submission: SparseFed

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we propose EfficientDerain for high-efficiency single-image deraining

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WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose

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Pytorch implementation of AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

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Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

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A set of tools for Namebase and HNS

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Autotype on websites that have copy-paste disabled like Moodle, HackerEarth contest etc.

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