Python Second-order-random-search Resources

Aule Libere Polimi Since the PoliMi site no longer allows people to search for free classrooms this bot was necessary! It simply search for the classr

pod_transcript_search Welcome to the pod transcript search webb app! Tech stack used: Languages used: Python (for the back-end), JavaScript (for the f

Memory In Memory Networks It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spati

Chatty Goose Multi-stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting Installation Ma

The Internet Archive Research Assistant - Daily search Internet Archive for new items matching your keywords

Deep Text Search - AI Based Text Search & Recommendation System Deep Text Search is an AI-powered multilingual text search and recommendation engine w

Deep Image Search is an AI-based image search engine that includes deep transfer learning features Extraction and tree-based vectorized search technique.

Geometry-Aware Gradient Algorithms for Neural Architecture Search This repository contains the code required to run the experiments for the DARTS sear

Wizard of Search Engine: Access to Information Through Conversations with Search Engines by Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zh

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

This is the repository for The Python Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.

AutoGiphyMovie lets you search giphy for gifs, converts them to videos, attach a soundtrack and stitches it all together into a movie!

Instance-Aware Latent-Space Search This is a PyTorch implementation of the following paper: Disentangled Face Attribute Editing via Instance-Aware Lat

TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models. The library is a collection of Keras models and supports classification, regression and ranking. TF-DF is a TensorFlow wrapper around the Yggdrasil Decision Forests C++ libraries. Models trained with TF-DF are compatible with Yggdrasil Decision Forests' models, and vice versa.

👑 Recon 👑 The step of recognizing a target in both Bug Bounties and Pentest can be very time-consuming. Thinking about it, I decided to create my ow

Deep Image Search - AI-Based Image Search Engine Deep Image Search is an AI-based image search engine that includes deep transfer learning features Ex

Install git clone and cd to directory install Selenium download chromedriver.exe to same directory First Run Use --setup True for the first run. Platf

Forecasting directional movements of stock-prices for intraday trading using LSTM and random-forest https://arxiv.org/abs/2004.10178 Pushpendu Ghosh,

✖️ Unofficial Python API Wrapper of 1337x This is the unofficial API of 1337x. It supports all proxies of 1337x and almost all functions of 1337x. You

Discord Bot that leverages the idea of nested containers using podman, runs untrusted user input, executes Quantum Circuits, allows users to refer to the Qiskit Documentation, and provides the ability to search questions on the Quantum Computing StackExchange.

A Simple Telegram Inline Torrent Search Bot by @AbirHasan2005

Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback About This repository accompanies the real-world experiments conducted i

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

JSON is everywhere on the Internet. Servers spend a *lot* of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++.

LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search The official implementation of the paper LightTra

It selects the best indexing parameters to achieve the highest recalls given memory and query speed constraints.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Jina is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.

In Loan-Marketing business employees are required to call the user's to buy loans of several fields and in several magnitudes. If employees are calling everybody in the network it is also very lengthy and uncertain that most of the customers will buy it. So, there is a very need for a filtering system that segregates the customers who are unlikely to buy loans and the opposite. Loan-Web is visualized and made up on that context.

CLI Torrent Downloader About CLI Torrent Downloader provides convenient and quick way to search torrent magnet links (and to run associated torrent cl

All in one Search Engine Scrapper for used by API or Python Module. How to use: Video Documentation Senginta is All in one Search Engine Scrapper. Wit

NRSC5-DUI is a graphical interface for nrsc5. It makes it easy to play your favorite FM HD radio stations using an RTL-SDR dongle. It will also displa

LightSeq is a high performance inference library for sequence processing and generation implemented in CUDA. It enables highly efficient computation of modern NLP models such as BERT, GPT2, Transformer, etc. It is therefore best useful for Machine Translation, Text Generation, Dialog， Language Modelling, and other related tasks using these models.

NAS-Bench-301 This repository containts code for the paper: "NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search". The

Differentiable Model Compression via Pseudo Quantization Noise DiffQ performs differentiable quantization using pseudo quantization noise. It can auto

The implementation of paper CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. CLIP4Clip is a video-text retrieval model based

End-to-End Coreference Resolution with Different Higher-Order Inference Methods This repository contains the implementation of the paper: Revealing th

Efficient implementations of Product Quantization and its variants using Pytorch and CUDA

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Code for paper: Does Unsupervised Architecture Representation

OCTIS : Optimizing and Comparing Topic Models is Simple! OCTIS (Optimizing and Comparing Topic models Is Simple) aims at training, analyzing and compa

3D-CVF This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object

Pixel Art Reverse Image Search for OpenGameArt What does the final search look like? The final search with an example can be found here. It looks like

Modeling High-Frequency Limit Order Book Dynamics Using Machine Learning Framework to capture the dynamics of high-frequency limit order books. Overvi

Landsat-util Landsat-util is a command line utility that makes it easy to search, download, and process Landsat imagery. Docs For full documentation v

Random C2 Profile Generator Cobalt Strike random C2 Profile generator Author: Joe Vest (@joevest) This project is designed to generate malleable c2 pr

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

The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. I

higher is a library providing support for higher-order optimization, e.g. through unrolled first-order optimization loops, of "meta" aspects of these

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

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

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

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

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

BatchFlow BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflo

What is Vaex? Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular data

TreeInterpreter Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and

Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The

Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o

This is a TensorFlow implementation of an arbitrary order (=2) Factorization Machine based on paper Factorization Machines with libFM. It supports: d

rpforest rpforest is a Python library for approximate nearest neighbours search: finding points in a high-dimensional space that are close to a given

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

Master status: Development status: Package information: TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assista

Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour

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。

An anthology of a variety of tools for the Persian language in Python

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.

Orange Data Mining Orange is a data mining and visualization toolbox for novice and expert alike. To explore data with Orange, one requires no program

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

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

AccountGenBot This Bot Can Generate Account With Hits You Save (Randomly) Keyfeatures Join To Use Support Limit Account Generation Using Sql Customiza

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