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
Code repo for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper.
InterpretableMDE A PyTorch implementation for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper. arXiv link: https://arxiv.or
16 Aug 12, 2022
The devkit of the nuScenes dataset.
nuScenes devkit Welcome to the devkit of the nuScenes and nuImages datasets. Overview Changelog Devkit setup nuImages nuImages setup Getting started w
1.6k Jan 05, 2023
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment This repository is related to the paper DEEPAGÉ: Answering Questions in Por
0 Dec 10, 2021
WarpRNNT loss ported in Numba CPU/CUDA for Pytorch
RNNT loss in Pytorch - Numba JIT compiled (warprnnt_numba) Warp RNN Transducer Loss for ASR in Pytorch, ported from HawkAaron/warp-transducer and a re
15 Oct 22, 2022
Simple PyTorch hierarchical models.
A python package adding basic hierarchal networks in pytorch for classification tasks. It implements a simple hierarchal network structure based on feed-backward outputs.
5 Mar 06, 2022
tf2-keras implement yolov5
YOLOv5 in tesnorflow2.x-keras yolov5数据增强jupyter示例 Bilibili视频讲解地址: 《yolov5 解读,训练,复现》 Bilibili视频讲解PPT文件: yolov5_bilibili_talk_ppt.pdf Bilibili视频讲解PPT文件:
254 Jan 08, 2023
This repo is the official implementation of "L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization".
L2ight is a closed-loop ONN on-chip learning framework to enable scalable ONN mapping and efficient in-situ learning. L2ight adopts a three-stage learning flow that first calibrates the complicated p
9 Jul 14, 2022
Tensorflow/Keras Plug-N-Play Deep Learning Models Compilation
DeepBay This project was created with the objective of compile Machine Learning Architectures created using Tensorflow or Keras. The architectures mus
4 Sep 26, 2022
Source Code for our paper: Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network
KaGRMN-DSG_ABSA This repository contains the PyTorch source Code for our paper: Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated
4 May 20, 2022
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds This repository contains the code asscoiated
14 Dec 12, 2022
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation UNet++ is a new general purpose image segmentation architecture for more accurate i
1.8k Dec 27, 2022
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
TorchCAM: class activation explorer Simple way to leverage the class-specific activation of convolutional layers in PyTorch. Quick Tour Setting your C
1.2k Dec 29, 2022
Intel® Neural Compressor is an open-source Python library running on Intel CPUs and GPUs
Intel® Neural Compressor targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep l
846 Jan 04, 2023
Code for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space"
SRHEN This is a better and simpler implementation for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in
1 Oct 28, 2022
This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes dataset. This code is implemented in Pytorch.
SLATE This is the official source code for SLATE. We provide the code for the model, the training code and a dataset loader for the 3D Shapes dataset.
66 Dec 26, 2022
EGNN - Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
EGNN - Pytorch Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch. May be eventually used for Alphafold2 replication. This
259 Jan 04, 2023
Tensorflow implementation for "Improved Transformer for High-Resolution GANs" (NeurIPS 2021).
HiT-GAN Official TensorFlow Implementation HiT-GAN presents a Transformer-based generator that is trained based on Generative Adversarial Networks (GA
78 Oct 31, 2022
Use unsupervised and supervised learning to predict stocks
AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n
1.5k Dec 26, 2022
Scalable machine learning based time series forecasting
mlforecast Scalable machine learning based time series forecasting. Install PyPI pip install mlforecast Optional dependencies If you want more functio
145 Dec 24, 2022
Visualizing lattice vibration information from phonon dispersion to atoms (For GPUMD)
Phonon-Vibration-Viewer (For GPUMD) Visualizing lattice vibration information from phonon dispersion for primitive atoms. In this tutorial, we will in
6 Dec 10, 2022