ADDS-DepthNet
This is the official implementation of the paper Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation ICCV2021
Code and data split are comming soon.
[ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
Overview
This repository contains the code for Direct Molecular Conformation Generation (DMCG).
Direct Molecular Conformation Generation This repository contains the code for Direct Molecular Conformation Generation (DMCG). Dataset Download rdkit
25 Dec 20, 2022
This is a project based on ConvNets used to identify whether a road is clean or dirty. We have used MobileNet as our base architecture and the weights are based on imagenet.
PROJECT TITLE: CLEAN/DIRTY ROAD DETECTION USING TRANSFER LEARNING Description: This is a project based on ConvNets used to identify whether a road is
3 Nov 06, 2022
Enhancing Column Generation by a Machine-Learning-BasedPricing Heuristic for Graph Coloring
Enhancing Column Generation by a Machine-Learning-BasedPricing Heuristic for Graph Coloring (to appear at AAAI 2022) We propose a machine-learning-bas
2 May 02, 2022
Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution" (CVPR 2021 Oral)
Adversarial Long-Tail This repository contains the PyTorch implementation of the paper: Adversarial Robustness under Long-Tailed Distribution, CVPR 20
89 Dec 15, 2022
Synthetic structured data generators
Join us on What is Synthetic Data? Synthetic data is artificially generated data that is not collected from real world events. It replicates the stati
850 Jan 07, 2023
Use AI to generate a optimized stock portfolio
Use AI, Modern Portfolio Theory, and Monte Carlo simulation's to generate a optimized stock portfolio that minimizes risk while maximizing returns. Ho
30 Dec 22, 2022
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
All about AI with Cheat-Sheets(+100 Cheat-sheets), Free Online Books, Courses, Videos and Lectures, Papers, Tutorials, Researchers, Websites, Datasets
1.2k Jan 01, 2023
VD-BERT: A Unified Vision and Dialog Transformer with BERT
VD-BERT: A Unified Vision and Dialog Transformer with BERT PyTorch Code for the following paper at EMNLP2020: Title: VD-BERT: A Unified Vision and Dia
44 Nov 01, 2022
Pre-trained models for a Cascaded-FCN in caffe and tensorflow that segments
Cascaded-FCN This repository contains the pre-trained models for a Cascaded-FCN in caffe and tensorflow that segments the liver and its lesions out of
300 Nov 22, 2022
An open source python library for automated feature engineering
"One of the holy grails of machine learning is to automate more and more of the feature engineering process." ― Pedro Domingos, A Few Useful Things to
6.4k Jan 03, 2023
The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection.
The Equalization Losses for Long-tailed Object Detection and Instance Segmentation This repo is official implementation CVPR 2021 paper: Equalization
129 Dec 16, 2022
Implementation for "Conditional entropy minimization principle for learning domain invariant representation features"
Implementation for "Conditional entropy minimization principle for learning domain invariant representation features". The code is reproduced from thi
1 Nov 02, 2022
PyTorch code for DriveGAN: Towards a Controllable High-Quality Neural Simulation
PyTorch code for DriveGAN: Towards a Controllable High-Quality Neural Simulation
76 Dec 24, 2022
Pytorch implementation of 'Fingerprint Presentation Attack Detector Using Global-Local Model'
RTK-PAD This is an official pytorch implementation of 'Fingerprint Presentation Attack Detector Using Global-Local Model', which is accepted by IEEE T
6 Aug 01, 2022
D2Go is a toolkit for efficient deep learning
D2Go D2Go is a production ready software system from FacebookResearch, which supports end-to-end model training and deployment for mobile platforms. W
744 Jan 04, 2023
A Comprehensive Study on Learning-Based PE Malware Family Classification Methods
A Comprehensive Study on Learning-Based PE Malware Family Classification Methods Datasets Because of copyright issues, both the MalwareBazaar dataset
8 Oct 21, 2022
A Strong Baseline for Image Semantic Segmentation
A Strong Baseline for Image Semantic Segmentation Introduction This project is an open source semantic segmentation toolbox based on PyTorch. It is ba
49 Sep 20, 2022
Code for Domain Adaptive Video Segmentation via Temporal Consistency Regularization in ICCV 2021
Domain Adaptive Video Segmentation via Temporal Consistency Regularization Updates 08/2021: check out our domain adaptation for sematic segmentation p
36 Dec 12, 2022
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Update (September 18th, 2021) A supporting document de
1 Mar 16, 2022
MIRACLE (Missing data Imputation Refinement And Causal LEarning)
MIRACLE (Missing data Imputation Refinement And Causal LEarning) Code Author: Trent Kyono This repository contains the code used for the "MIRACLE: Cau
15 Dec 29, 2022