Python Nas-search-space Resources

This repository hosts the source code of our paper: [AAAI 2021]Sequential End-to-end Network for Efficient Person Search. SeqNet achieves the state-of

DNA This repository provides the code of our paper: Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. Illustration of DNA

Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors.

Rethinking Graph Neural Architecture Search from Message-passing Intro The GNAS can automatically learn better architecture with the optimal depth of

Twitter Geolocate Twitter Geolocation is a console app that generates twitter search querries for a certain geolocation and opens them in your standar

Tribler Towards making Bittorrent anonymous and impossible to shut down. We use our own dedicated Tor-like network for anonymous torrent downloading.

MMNas: Deep Multimodal Neural Architecture Search This repository corresponds to the PyTorch implementation of the MMnas for visual question answering

STAM - Pytorch Implementation of STAM (Space Time Attention Model), yet another pure and simple SOTA attention model that bests all previous models in

(Generic) EfficientNets for PyTorch A 'generic' implementation of EfficientNet, MixNet, MobileNetV3, etc. that covers most of the compute/parameter ef

Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear

sentinelsat Sentinelsat makes searching, downloading and retrieving the metadata of Sentinel satellite images from the Copernicus Open Access Hub easy

An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g

BossNAS This repository contains PyTorch evaluation code, retraining code and pretrained models of our paper: BossNAS: Exploring Hybrid CNN-transforme

gHHC Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, D

LieTorch: Tangent Space Backpropagation Introduction The LieTorch library generalizes PyTorch to 3D transformation groups. Just as torch.Tensor is a m

Introduction This is the implementationn for Anchor-Free Person Search in CVPR2021 License This project is released under the Apache 2.0 license. Inst

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space by Quande Liu, Cheng Chen, Ji

Open Semantic Search https://opensemanticsearch.org Integrated search server, ETL framework for document processing (crawling, text extraction, text a

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling This repository contains PyTorch evaluation code, training code and pretrain

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark Accepted as a spotlight paper at ICLR 2021. Table of content File structure Prerequi

stackshell Automatically search Stack Overflow (and other Stack Exchange sites) for the command you want to ru Use the up and down arrows to change be

[CVPR2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator Overview This is the entire codebase for the paper

Privacy-respecting, hackable metasearch engine / pronunciation səːks. If you are looking for running instances, ready to use, then visit searx.space.

#Search-Tools Search-Tools集合比较常见的网络空间探测引擎 Fofa,Zoomeye,Quake,Shodan,Censys,BinaryEdge 简单说明 ICO搜索目前只有Fofa,Shodan,Quake支持 代理设置是防止在API请求过于频繁，或者在实战中，好多红队打

IC-Conv This repository is an official implementation of the paper Inception Convolution with Efficient Dilation Search. Getting Started Download Imag

Navigating StyleGAN2 w latent space using CLIP an attempt to build sth with the official SG2-ADA Pytorch impl kinda inspired by Generating Images from

Auto Filter Bot ㅤㅤㅤㅤㅤㅤㅤ ㅤㅤㅤㅤㅤㅤㅤ You can call this as an Auto Filter Bot if you like :D Bot simply search for the files from provided channel according

Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not

SMAC v3 Project Copyright (C) 2016-2018 AutoML Group Attention: This package is a reimplementation of the original SMAC tool (see reference below). Ho

auto-sklearn auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. Find the documentation here

a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack

一款高性能非法词(敏感词)检测组件，附带繁体简体互换，支持全角半角互换，获取拼音首字母，获取拼音字母，拼音模糊搜索等功能。

Simple multi-dataset detection An object detector trained on multiple large-scale datasets with a unified label space; Winning solution of E

Neural Scene Flow Fields PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 20

LightSpeech UnOfficial PyTorch implementation of LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search.

dirmaker is a simple, opinionated static site generator for publishing directory websites (eg: Indic.page, env.wiki It takes entries from a YAML file and generates a categorised, paginated directory website.

Welcome to Mailpile! Introduction Mailpile (https://www.mailpile.is/) is a modern, fast web-mail client with user-friendly encryption and privacy feat

[ en | de | el ] Important news about the future of this project It's been more than 5 years since I started this project on a whim as an effort to tr

buku buku in action! Introduction buku is a powerful bookmark manager written in Python3 and SQLite3. When I started writing it, I couldn't find a fle

🔍 Ambar: Document Search Engine Ambar is an open-source document search engine with automated crawling, OCR, tagging and instant full-text search. Am

视频教学地址 中文学习教程 1、本教程每一个案例都可以独立跑，前提是安装好依赖包。 2、本教程并未按照官方教程顺序，而是按照实际使用顺序编排。 Video Teaching Address FastAPI Learning Example 1.Each case in this tutorial c

This open source project serves two purposes. Collection and evaluation of a Question Answering dataset to improve existing QA/search methods - COVID-

Sandwich Batch Normalization Code for Sandwich Batch Normalization. Introduction We present Sandwich Batch Normalization (SaBN), an extremely easy imp

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers speed up their exploration process for finding the right model architecture for their classification problems (i.e., DNNs with different types of layers).

flask-msearch Installation To install flask-msearch: pip install flask-msearch # when MSEARCH_BACKEND = "whoosh" pip install whoosh blinker # when MSE

rewise is an unofficial wrapper for google search's auto-complete feature

HyperTag HyperTag helps humans intuitively express how they think about their files using tags and machine learning.

CSE-Autoloss Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models

HyperTag helps humans intuitively express how they think about their files using tags and machine learning. Represent how you think using tags. Find what you look for using semantic search for your text documents (yes, even PDF's) and images.

cookiecutter-spacy-fastapi Python cookiecutter API for quick deployments of spaCy models with FastAPI Azure Search The API interface is compatible wit

NeuralQA: A Usable Library for (Extractive) Question Answering on Large Datasets with BERT Still in alpha, lots of changes anticipated. View demo on n

FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install

Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want

jellyfish Jellyfish is a python library for doing approximate and phonetic matching of strings. Written by James Turk [email protected] and Michael

An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g

Face Identity Disentanglement via Latent Space Mapping Description Official Implementation of the paper Face Identity Disentanglement via Latent Space

Darkdump - Search The Deep Web Straight From Your Terminal About Darkdump Darkdump is a simple script written in Python3.9 in which it allows users to

NeuralQA: A Usable Library for (Extractive) Question Answering on Large Datasets with BERT Still in alpha, lots of changes anticipated. View demo on n

FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install

Haystack is an end-to-end framework for Question Answering & Neural search that enables you to ... ... ask questions in natural language and find gran

jellyfish Jellyfish is a python library for doing approximate and phonetic matching of strings. Written by James Turk [email protected] and Michael

An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g

a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

dodgy Dodgy is a very basic tool to run against your codebase to search for "dodgy" looking values. It is a series of simple regular expressions desig

pysolr pysolr is a lightweight Python client for Apache Solr. It provides an interface that queries the server and returns results based on the query.

Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built o

Python Elasticsearch Client Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Py

django-watson django-watson is a fast multi-model full-text search plugin for Django. It is easy to install and use, and provides high quality search

Haystack Author: Daniel Lindsley Date: 2013/07/28 Haystack provides modular search for Django. It features a unified, familiar API that allows you to

flask-msearch Installation To install flask-msearch: pip install flask-msearch # when MSEARCH_BACKEND = "whoosh" pip install whoosh blinker # when MSE

Google Images Download Python Script for 'searching' and 'downloading' hundreds of Google images to the local hard disk! Documentation Documentation H

CLIP-GLaSS Repository for the paper Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search An in-browser demo is

Learn X by doing Y 🛠️ Learn a technology X by doing a project Y Website You can contribute by adding projects to the CSV file.

Learning the Super-Resolution Space Challenge NTIRE 2021 at CVPR Learning the Super-Resolution Space challenge is held as a part of the 6th edition of

RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving (AAAI2021). RTS3D is efficiency and accuracy s

MetaFinder - Metadata search through Google _____ __ ___________ .__ .___ / \

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective [PDF] Wuyang Chen, Xinyu Gong, Zhangyang Wang In ICLR 2

Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search This is an implementation for our paper Contextual Non-Loca

Python Google Search API Unofficial Google Search API for Python. It uses web scraping in the background and is compatible with both Python 2 and 3. W

amzSear The unofficial Amazon Product CLI & API. Easily search the amazon product directory from the command line without the need for an Amazon API k

pysolr pysolr is a lightweight Python client for Apache Solr. It provides an interface that queries the server and returns results based on the query.

Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built o

Haystack Author: Daniel Lindsley Date: 2013/07/28 Haystack provides modular search for Django. It features a unified, familiar API that allows you to

Annoy Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given quer

jellyfish Jellyfish is a python library for doing approximate and phonetic matching of strings. Written by James Turk [email protected] and Michael

Determined: Deep Learning Training Platform Determined is an open-source deep learning training platform that makes building models fast and easy. Det

Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline

Annoy Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given quer

Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear

Pythonic Data Structures and Algorithms Minimal and clean example implementations of data structures and algorithms in Python 3. Contributing Thanks f