the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"

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Yezhen Wang
AAAI 2022: Stationary diffusion state neural estimation

Stationary Diffusion State Neural Estimation Although many graph-based clustering methods attempt to model the stationary diffusion state in their obj

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Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.

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DL course co-developed by YSDA, HSE and Skoltech

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Personal project about genus-0 meshes, spherical harmonics and a cow

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Linear Variational State Space Filters

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How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach

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Contrastive Learning for Metagenomic Binning

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An Evaluation of Generative Adversarial Networks for Collaborative Filtering.

An Evaluation of Generative Adversarial Networks for Collaborative Filtering. This repository was developed by Fernando B. Pérez Maurera. Fernando is

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This is the official pytorch implementation of the BoxEL for the description logic EL++

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Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.

Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.

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This is the face keypoint train code of project face-detection-project

face-key-point-pytorch 1. Data structure The structure of landmarks_jpg is like below: |--landmarks_jpg |----AFW |------AFW_134212_1_0.jpg |------AFW_

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Code to run experiments in SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.

Code to run experiments in SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. Not an official Google product. Me

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Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

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Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity

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Unsupervised Feature Loss (UFLoss) for High Fidelity Deep learning (DL)-based reconstruction

Unsupervised Feature Loss (UFLoss) for High Fidelity Deep learning (DL)-based reconstruction Official github repository for the paper High Fidelity De

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The code for paper "Learning Implicit Fields for Generative Shape Modeling".

implicit-decoder The tensorflow code for paper "Learning Implicit Fields for Generative Shape Modeling", Zhiqin Chen, Hao (Richard) Zhang. Project pag

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Accurate Phylogenetic Inference with Symmetry-Preserving Neural Networks

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reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

DFANet This repo is an unofficial pytorch implementation of DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation log 2019.4.16 After 48

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Bayesian algorithm execution (BAX)

Bayesian Algorithm Execution (BAX) Code for the paper: Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mut

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Source code for Acorn, the precision farming rover by Twisted Fields

Acorn precision farming rover This is the software repository for Acorn, the precision farming rover by Twisted Fields. For more information see twist

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