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

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Raschka Research Group
Computational Statistics, Machine Learning, and Deep Learning Research Group @ UW Madison
Raschka Research Group
Differentiable Optimizers with Perturbations in Pytorch

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Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.

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This repository contains the code for the binaural-detection model used in the publication arXiv:2111.04637

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TResNet: High Performance GPU-Dedicated Architecture

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[AAAI22] Reliable Propagation-Correction Modulation for Video Object Segmentation

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JUSTICE: A Benchmark Dataset for Supreme Court’s Judgment Prediction

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Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"

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Shelly Sheynin 14 Apr 15, 2022
This is Official implementation for "Pose-guided Feature Disentangling for Occluded Person Re-Identification Based on Transformer" in AAAI2022

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A multi-scale unsupervised learning for deformable image registration

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Official implementation of deep Gaussian process (DGP)-based multi-speaker speech synthesis with PyTorch.

Multi-speaker DGP This repository provides official implementation of deep Gaussian process (DGP)-based multi-speaker speech synthesis with PyTorch. O

sarulab-speech 24 Sep 07, 2022
Implementation of Deep Deterministic Policy Gradiet Algorithm in Tensorflow

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Linescanning - Package for (pre)processing of anatomical and (linescanning) fMRI data

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A PyTorch implementation of the architecture of Mask RCNN

EDIT (AS OF 4th NOVEMBER 2019): This implementation has multiple errors and as of the date 4th, November 2019 is insufficient to be utilized as a reso

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City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones Code

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88 Dec 12, 2022
Doing fast searching of nearest neighbors in high dimensional spaces is an increasingly important problem

Benchmarking nearest neighbors Doing fast searching of nearest neighbors in high dimensional spaces is an increasingly important problem, but so far t

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Jupyter notebooks showing best practices for using cx_Oracle, the Python DB API for Oracle Database

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Open AI's Python library

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This is an official implementation for "PlaneRecNet".

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Neural Tangent Generalization Attacks (NTGA)

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An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"

RASP Setup Mac or Linux Run ./setup.sh . It will create a python3 virtual environment and install the dependencies for RASP. It will also try to insta

141 Jan 03, 2023