A curated list of awesome resources related to Semantic Search๐Ÿ”Ž and Semantic Similarity tasks.

Overview

Awesome Semantic-Search Awesome

Logo made by @createdbytango.

Following repository aims to serve a meta-repository for Semantic Search and Semantic Similarity related tasks.

Semantic Search isn't limited to text! It can be done with images, speech, etc. So there are numerous different use-cases and applications of semantic search.

Contributions / Milestones

Have a look at the project board for the task list

Table Of Contents

Papers

2014

2015

2016

2017

2018

2019

2020

2021

?2021/2022?

Libraries and Tools

Datasets

Owner
Humans trying to understand machines...
ADB-IP-ROTATION - Use your mobile phone to gain a temporary IP address using ADB and data tethering

ADB IP ROTATE This an Python script based on Android Debug Bridge (adb) shell sc

Dor Bismuth 2 Jul 12, 2022
PyTorch implementation of PNASNet-5 on ImageNet

PNASNet.pytorch PyTorch implementation of PNASNet-5. Specifically, PyTorch code from this repository is adapted to completely match both my implemetat

Chenxi Liu 314 Nov 25, 2022
Effective Use of Transformer Networks for Entity Tracking

Effective Use of Transformer Networks for Entity Tracking (EMNLP19) This is a PyTorch implementation of our EMNLP paper on the effectiveness of pre-tr

5 Nov 06, 2021
Sparse Physics-based and Interpretable Neural Networks

Sparse Physics-based and Interpretable Neural Networks for PDEs This repository contains the code and manuscript for research done on Sparse Physics-b

28 Jan 03, 2023
Image augmentation library in Python for machine learning.

Augmentor is an image augmentation library in Python for machine learning. It aims to be a standalone library that is platform and framework independe

Marcus D. Bloice 4.8k Jan 07, 2023
hySLAM is a hybrid SLAM/SfM system designed for mapping

HySLAM Overview hySLAM is a hybrid SLAM/SfM system designed for mapping. The system is based on ORB-SLAM2 with some modifications and refactoring. Raรบ

Brian Hopkinson 15 Oct 10, 2022
This repository contains code, network definitions and pre-trained models for working on remote sensing images using deep learning

Deep learning for Earth Observation This repository contains code, network definitions and pre-trained models for working on remote sensing images usi

Nicolas Audebert 447 Jan 05, 2023
Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.

SymEngine Python Wrappers Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library. Installation Pip See License section

136 Dec 28, 2022
LSSY้‡ๅŒ–ไบคๆ˜“็ณป็ปŸ

LSSY้‡ๅŒ–ไบคๆ˜“็ณป็ปŸ ่ฏฅ้กน็›ฎๆ˜ฏๆœฌไบบ3ๅนดๆฅ็ ”็ฉถ้‡ๅŒ–ๆ…ขๆ…ข็งฏ็ดฏๅผ€ๅ‘็š„ไธ€ๅฅ—็ณป็ปŸ๏ผŒๅฑžไบŽๆ—ฉๆœŸไฝœๅ“ๆ…ขๆ…ขไฟฎๆ”น่€Œๆฅ๏ผŒไป…ไพ›ๅญฆไน ็ ”็ฉถ๏ผŒๅ›žๆต‹ๅˆ†ๆž๏ผŒๅฎž็›˜ไบคๆ˜“้ƒจๅˆ†ๆœชๅ…ฌๅผ€

55 Oct 04, 2022
BridgeGAN - Tensorflow implementation of Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation.

Bridging the Gap between Label- and Reference based Synthesis(ICCV 2021) Tensorflow implementation of Bridging the Gap between Label- and Reference-ba

huangqiusheng 8 Jul 13, 2022
PyTorch implementation of ''Background Activation Suppression for Weakly Supervised Object Localization''.

Background Activation Suppression for Weakly Supervised Object Localization PyTorch implementation of ''Background Activation Suppression for Weakly S

35 Jan 06, 2023
Message Passing on Cell Complexes

CW Networks This repository contains the code used for the papers Weisfeiler and Lehman Go Cellular: CW Networks (Under review) and Weisfeiler and Leh

Twitter Research 108 Jan 05, 2023
Breast Cancer Classification Model is applied on a different dataset

Breast Cancer Classification Model is applied on a different dataset

1 Feb 04, 2022
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

CatBoost 6.9k Jan 04, 2023
Binary classification for arrythmia detection with ECG datasets.

HEART DISEASE AI DATATHON 2021 [Eng] / [Kor] #English This is an AI diagnosis modeling contest that uses the heart disease echocardiography and electr

HY_Kim 3 Jul 14, 2022
MXNet implementation for: Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

Octave Convolution MXNet implementation for: Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Imag

Meta Research 549 Dec 28, 2022
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

fpn.pytorch Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection Introduction This project inherits the property of our pytorc

Jianwei Yang 912 Dec 21, 2022
Unsupervised Feature Ranking via Attribute Networks.

FRANe Unsupervised Feature Ranking via Attribute Networks (FRANe) converts a dataset into a network (graph) with nodes that correspond to the features

7 Sep 29, 2022
Convert Python 3 code to CUDA code.

Py2CUDA Convert python code to CUDA. Usage To convert a python file say named py_file.py to CUDA, run python generate_cuda.py --file py_file.py --arch

Yuval Rosen 3 Jul 14, 2021
Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"

Paper For more details, please see our paper Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum which has been accepted a

14 Sep 30, 2022