fake-news-explainability
Experiments for fake news explainability project
This repository only contains the notebooks used to train the models and evaluate them. The data and models can be found here:
Experiments for Fake News explainability project
Overview
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated
37 Dec 15, 2022
High level network definitions with pre-trained weights in TensorFlow
TensorNets High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 = TF = 1.4.0). Guiding principles Applicability.
1k Dec 13, 2022
LIMEcraft: Handcrafted superpixel selectionand inspection for Visual eXplanations
LIMEcraft LIMEcraft: Handcrafted superpixel selectionand inspection for Visual eXplanations The LIMEcraft algorithm is an explanatory method based on
4 Aug 01, 2022
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
PyImpetus PyImpetus is a Markov Blanket based feature selection algorithm that selects a subset of features by considering their performance both indi
103 Dec 14, 2022
ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
ICON: Implicit Clothed humans Obtained from Normals Yuliang Xiu · Jinlong Yang · Dimitrios Tzionas · Michael J. Black CVPR 2022 News 🚩 [2022/04/26] H
1.1k Jan 04, 2023
The `rtdl` library + The official implementation of the paper
The `rtdl` library + The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data"
510 Dec 30, 2022
Meta Language-Specific Layers in Multilingual Language Models
Meta Language-Specific Layers in Multilingual Language Models This repo contains the source codes for our paper On Negative Interference in Multilingu
20 Feb 13, 2022
[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars Fangzhou Hong1* Mingyuan Zhang1* Liang Pan1 Zhongang Cai1,2,3 Lei Yang2
749 Jan 04, 2023
Script utilizando OpenCV e modelo Machine Learning para detectar o uso de máscaras.
Reconhecendo máscaras Este repositório contém um script em Python3 que reconhece se um rosto está ou não portando uma máscara! O código utiliza da bib
168 Oct 20, 2022
Degree-Quant: Quantization-Aware Training for Graph Neural Networks.
Degree-Quant This repo provides a clean re-implementation of the code associated with the paper Degree-Quant: Quantization-Aware Training for Graph Ne
35 Oct 07, 2022
Learning Tracking Representations via Dual-Branch Fully Transformer Networks
Learning Tracking Representations via Dual-Branch Fully Transformer Networks DualTFR ⭐ We achieves the runner-ups for both VOT2021ST (short-term) and
19 May 04, 2022
Count GitHub Stars ⭐
Count GitHub Stars per Day ⭐ Track GitHub stars per day over a date range to measure the open-source popularity of different repositories. Requirement
20 Nov 20, 2022
Official PyTorch implementation for "Low Precision Decentralized Distributed Training with Heterogenous Data"
Low Precision Decentralized Training with Heterogenous Data Official PyTorch implementation for "Low Precision Decentralized Distributed Training with
0 Nov 23, 2021
Code release for Universal Domain Adaptation(CVPR 2019)
Universal Domain Adaptation Code release for Universal Domain Adaptation(CVPR 2019) Requirements python 3.6+ PyTorch 1.0 pip install -r requirements.t
229 Dec 23, 2022
A deep learning CNN model to identify and classify and check if a person is wearing a mask or not.
Face Mask Detection The Model is designed to check if any human is wearing a mask or not. Dataset Description The Dataset contains a total of 11,792 i
1 Mar 01, 2022
Automatically replace ONNX's RandomNormal node with Constant node.
onnx-remove-random-normal This is a script to replace RandomNormal node with Constant node. Example Imagine that we have something ONNX model like the
1 Dec 11, 2021
Learning to Identify Top Elo Ratings with A Dueling Bandits Approach
Learning to Identify Top Elo Ratings We propose two algorithms MaxIn-Elo and MaxIn-mElo to solve the top players identification on the transitive and
2 Jan 14, 2022
Super-Fast-Adversarial-Training - A PyTorch Implementation code for developing super fast adversarial training
Super-Fast-Adversarial-Training This is a PyTorch Implementation code for develo
26 Dec 02, 2022
A PyTorch re-implementation of Neural Radiance Fields
nerf-pytorch A PyTorch re-implementation Project | Video | Paper NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Ben Mildenhall
709 Jan 09, 2023
Multi-Task Learning as a Bargaining Game
Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate
87 Dec 26, 2022