850 Repositories
Python second-order-random-search Libraries
Classify music genre from a 10 second sound stream using a Neural Network.
MusicGenreClassification Academic research in the field of Deep Learning (Deep Neural Networks) and Sound Processing, Tel Aviv University. Featured in
Book search Django web project that uses requests python library and openlibrary API.
Book Search API Developer: Vladimir Vojtenko Book search Django web project that uses requests python library and openlibrary API. #requests #openlibr
Random collage/montage generator with drop-shadow
Random Collage Example Usage These are the sample input files in $PWD for the below examples: 1.png 2.png 3.png 4.png 5.png 6.png 7.png 8.png 9.png 10
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
A PaddlePaddle implementation of STGCN with a few modifications in the model architecture in order to forecast traffic jam.
About This repository contains the code of a PaddlePaddle implementation of STGCN based on the paper Spatio-Temporal Graph Convolutional Networks: A D
Global-Local Context Network for Person Search
Global-Local Context Network for Person Search Abstract: Person search aims to jointly localize and identify a query person from natural, uncropped im
This cosmetics generator allows you to generate the new Fortnite cosmetics, Search pak and search cosmetics!
COSMETICS GENERATOR This cosmetics generator allows you to generate the new Fortnite cosmetics, Search pak and search cosmetics! Remember to put the l
Convert temps in your Alfred search bar
Alfred Temp Converter Convert temps in your Alfred search bar. Download Here Usage: temp 100f converts to Celsius, Kelvin, and Rankine. temp 100c conv
Experiments with the Robust Binary Interval Search (RBIS) algorithm, a Query-Based prediction algorithm for the Online Search problem.
OnlineSearchRBIS Online Search with Best-Price and Query-Based Predictions This is the implementation of the Robust Binary Interval Search (RBIS) algo
A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).
UniNAS A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS). under development (which happens mostly on our internal Gi
This file will contain a series of Python functions that use the Selenium library to search for elements in a web page while logging everything into a file
element_search with Selenium (Now With docstrings 😎 ) Just to mention, I'm a beginner to all this, so it it's very possible to make some mistakes The
Planning from Pixels in Environments with Combinatorially Hard Search Spaces -- NeurIPS 2021
PPGS: Planning from Pixels in Environments with Combinatorially Hard Search Spaces Environment Setup We recommend pipenv for creating and managing vir
A Python script which randomly chooses and prints a file from a directory.
___ ____ ____ _ __ ___ / _ \ | _ \ | _ \ ___ _ __ | '__| / _ \ | |_| || | | || | | | / _ \| '__| | | | __/ | _ || |_| || |_| || __
voice assistant made with python that search for covid19 data(like total cases, deaths and etc) in a specific country
covid19-voice-assistant voice assistant made with python that search for covid19 data(like total cases, deaths and etc) in a specific country installi
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
A simple API for working with University of California, Irvine (UCI) Machine Learning (ML) repository Table of Contents Introduction About Page of the
Joint Detection and Identification Feature Learning for Person Search
Person Search Project This repository hosts the code for our paper Joint Detection and Identification Feature Learning for Person Search. The code is
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
Oscar and VinVL
Oscar: Object-Semantics Aligned Pre-training for Vision-and-Language Tasks VinVL: Revisiting Visual Representations in Vision-Language Models Updates
An implementation of the AdaOPS (Adaptive Online Packing-based Search), which is an online POMDP Solver used to solve problems defined with the POMDPs.jl generative interface.
AdaOPS An implementation of the AdaOPS (Adaptive Online Packing-guided Search), which is an online POMDP Solver used to solve problems defined with th
A selection of a few algorithms used to sort or search an array
Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorith
Multiple Imputation with Random Forests in Python
miceforest: Fast, Memory Efficient Imputation with lightgbm Fast, memory efficient Multiple Imputation by Chained Equations (MICE) with lightgbm. The
Very useful and necessary functions that simplify working with data
Additional-function-for-pandas Very useful and necessary functions that simplify working with data random_fill_nan(module_name, nan) - Replaces all sp
Upgini : data search library for your machine learning pipelines
Automated data search library for your machine learning pipelines → find & deliver relevant external data & features to boost ML accuracy :chart_with_upwards_trend:
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Milano (This is a research project, not an official NVIDIA product.) Documentation https://nvidia.github.io/Milano Milano (Machine learning autotuner
Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)
Length-Adaptive Transformer This is the official Pytorch implementation of Length-Adaptive Transformer. For detailed information about the method, ple
Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks
Continuous Sparsification Implementation of Continuous Sparsification (CS), a method based on l_0 regularization to find sparse neural networks, propo
A production-ready, scalable Indexer for the Jina neural search framework, based on HNSW and PSQL
🌟 HNSW + PostgreSQL Indexer HNSWPostgreSQLIndexer Jina is a production-ready, scalable Indexer for the Jina neural search framework. It combines the
A deep learning based semantic search platform that computes similarity scores between provided query and documents
semanticsearch This is a deep learning based semantic search platform that computes similarity scores between provided query and documents. Documents
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
[NeurIPS 2021 Spotlight] HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning [Paper] This is Official PyTorch implementatio
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
LMMNN Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks This is the working dire
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting
QAConv Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting This PyTorch code is proposed in
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
Realistic evaluation of transductive few-shot learning Introduction This repo contains the code for our NeurIPS 2021 submitted paper "Realistic evalua
code from "Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity"
Code associated with the paper "Tensor decomposition of higher-order correlations by nonlinear Hebbian learning," Ocker & Buice, Neurips 2021. "plot_f
Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning"
Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning" This is the code for the paper Solving Graph-based Public Goo
Search with BERT vectors in Solr and Elasticsearch
Search with BERT vectors in Solr and Elasticsearch
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
Optimized Einsum Optimized Einsum: A tensor contraction order optimizer Optimized einsum can significantly reduce the overall execution time of einsum
A simple search engine that allow searching for chess games
A simple search engine that allow searching for chess games based on queries about opening names & opening moves. Built with Python 3.10 and python-chess.
Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)
Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)
Code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.
TransNAS-Bench-101 This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizabili
Search the gallerys by tag and download pictures to the local
booruDownloader Search the gallerys by tag and download pictures to the local
A python script to search for k-uniform Euclidean tilings.
k-uniform-solver A python script to search for k-uniform Euclidean tilings. This project's aim is to replicate and extend the list of k-uniform Euclid
A fast, dataset-agnostic, deep visual search engine for digital art history
imgs.ai imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings. It utilizes modern
A simple python implementation of A* and bfs algorithm solving Eight-Puzzle
A simple python implementation of A* and bfs algorithm solving Eight-Puzzle
Extracts random colours from an image
EXTRACT COLOURS This repo contains all the project files. Project Description A Program that extracts 10 random colours from an image and saves the rg
Codes for paper "KNAS: Green Neural Architecture Search"
KNAS Codes for paper "KNAS: Green Neural Architecture Search" KNAS is a green (energy-efficient) Neural Architecture Search (NAS) approach. It contain
A play store search module
A play store search module
Starlink Order Status Notification
Starlink Order Status Notification This script logs into Starlink order portal, pulls your estimated delivery date and emails it to a designated email
Generate random test credit card numbers for testing, validation and/or verification purposes.
Generate random test credit card numbers for testing, validation and/or verification purposes.
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
Syne Tune This package provides state-of-the-art distributed hyperparameter optimizers (HPO) where trials can be evaluated with several backend option
This program generate hashes from random salts
Hash Generator This program generate hashes from random salts. How to install Install this program using python 3 and pip: pip install . In the future
🗂️ 🔍 Geospatial Data Management and Search API - Django Apps
Geospatial Data API in Django Resonant GeoData (RGD) is a series of Django applications well suited for cataloging and searching annotated geospatial
Haystack is an open source NLP framework that leverages Transformer models.
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
Meaningful titles for tabs and PDF downloads! Also supports tab search.
arxiv-utils If you are a researcher that reads a lot on ArXiv, you'll benefit a lot from this web extension. Renames the title of PDF page to the pape
Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
OANet implementation Pytorch implementation of OANet for ICCV'19 paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network", by
Inverted index creation and query search mechanism on Wikipedia pages.
WikiPedia Search Engine Step 1 : Installing Requirements Install "stemming" module for python using pip. Step 2 : Parsing the Data To parse the data,
Implementation of the MDMC method to search for magnetic ground state using VASP
Implementation of MDMC method ( by Olga Vekilova ) to search for magnetic ground state using VASP
SPTAG: A library for fast approximate nearest neighbor search
SPTAG: A library for fast approximate nearest neighbor search SPTAG SPTAG (Space Partition Tree And Graph) is a library for large scale vector approxi
This is a Saleae Logic custom high level analyzer that allows you to search and mark specific packets.
SaleaePacketParser This is a Saleae Logic custom high level analyzer that allows you to search and mark specific packets. Field "Search For" is used f
BOOTH宛先印刷用CSVから色々な便利なリストを作成してCSVで出力するプログラムです。
BOOTH注文リスト作成スクリプト このPythonスクリプトは、BOOTHの「宛名印刷用CSV」から、 未発送の注文 今月の注文 特定期間の注文 を抽出した上で、各注文を商品毎に一覧化したCSVとして出力するスクリプトです。 簡単な使い方 ダウンロード 通常は、Relaseから、booth_ord
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
AutoML for Image Semantic Segmentation Currently this repo contains the only working open-source implementation of Auto-Deeplab which, by the way out-
Hidden-Fold Networks (HFN): Random Recurrent Residuals Using Sparse Supermasks
Hidden-Fold Networks (HFN): Random Recurrent Residuals Using Sparse Supermasks by Ángel López García-Arias, Masanori Hashimoto, Masato Motomura, and J
Source code of CIKM2021 Long Paper "PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling".
PSSL Source code of CIKM2021 Long Paper "PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling". It consists of the pre-tra
Question and answer retrieval in Turkish with BERT
trfaq Google supported this work by providing Google Cloud credit. Thank you Google for supporting the open source! 🎉 What is this? At this repo, I'm
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models. Hyperactive: is very easy to lear
PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors.
PyNNDescent PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbo
Generalized Random Forests
generalized random forests A pluggable package for forest-based statistical estimation and inference. GRF currently provides non-parametric methods fo
Code to compute permutation and drop-column importances in Python scikit-learn models
Feature importances for scikit-learn machine learning models By Terence Parr and Kerem Turgutlu. See Explained.ai for more stuff. The scikit-learn Ran
InfiniteBoost: building infinite ensembles with gradient descent
InfiniteBoost Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov, T. Likhomanenko De
A pure Python implementation of a mixed effects random forest (MERF) algorithm
Mixed Effects Random Forest This repository contains a pure Python implementation of a mixed effects random forest (MERF) algorithm. It can be used, o
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
A library for efficient similarity search and clustering of dense vectors.
Faiss Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any
Approximate Nearest Neighbor Search for Sparse Data in Python!
Approximate Nearest Neighbor Search for Sparse Data in Python! This library is well suited to finding nearest neighbors in sparse, high dimensional spaces (like text documents).
Raven is a tool written in Python3 allowing you to generate an unique image with some text.
🐦 Raven is a tool written in Python3 allowing you to generate an unique image with some text. It does it by searching the text on Google, do
A user reconnaisance tool that extracts a target's information from Instagram, DockerHub & Github.
A user reconnaisance tool that extracts a target's information from Instagram, DockerHub & Github. Also searches for matching usernames on Github.
A Telegram Bot That Can Find Lyrics Of Song
Lyrics-Search-Bot A Telegram Bot That Can Find Lyrics Of Song A Simple Telegram Bot That Can Extract Lyrics Of Any Songs Deploy Commands start - To St
A streamlit app for exploring image search results from HuggingPics
title emoji colorFrom colorTo sdk app_file pinned huggingpics-explorer 🤗 blue red streamlit app.py false huggingpics-explorer A streamlit app for exp
Naszilla is a Python library for neural architecture search (NAS)
A repository to compare many popular NAS algorithms seamlessly across three popular benchmarks (NASBench 101, 201, and 301). You can implement your ow
Blender pluggin (python script) that adds a randomly generated tree with random branches and bend orientations
Blender pluggin (python script) that adds a randomly generated tree with random branches and bend orientations
A python module to create random networks using network models
networkgen A python module to create random networks using network models Usage $
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
datasketch: Big Data Looks Small datasketch gives you probabilistic data structures that can process and search very large amount of data super fast,
AutoML library for deep learning
Official Website: autokeras.com AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da
A machine learning project that predicts the price of used cars in the UK
Car Price Prediction Image Credit: AA Cars Project Overview Scraped 3000 used cars data from AA Cars website using Python and BeautifulSoup. Cleaned t
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
What is DeepHyper? DeepHyper is a software package that uses learning, optimization, and parallel computing to automate the design and development of
AI-powered literature discovery and review engine for medical/scientific papers
AI-powered literature discovery and review engine for medical/scientific papers paperai is an AI-powered literature discovery and review engine for me
A pypi package details search python module
A pypi package details search python module
generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search
generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search This repository contains single-threaded TreeMesh code. I'm Hua Tong, a senior stu
Code for "Universal inference meets random projections: a scalable test for log-concavity"
How to use this repository This repository contains code to replicate the results of "Universal inference meets random projections: a scalable test fo
A deep learning object detector framework written in Python for supporting Land Search and Rescue Missions.
AIR: Aerial Inspection RetinaNet for supporting Land Search and Rescue Missions AIR is a deep learning based object detection solution to automate the
A number of methods in order to perform Natural Language Processing on live data derived from Twitter
A number of methods in order to perform Natural Language Processing on live data derived from Twitter
[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )
GNeRF This repository contains official code for the ICCV 2021 paper: GNeRF: GAN-based Neural Radiance Field without Posed Camera. This implementation
Python based Telegram bot. Search and download YouTube video or audio.
Python-Telegram-Youtube-Media-Bot Python based Telegram bot. Search and download YouTube video or audio. Just change settings.py and start TelegramBot
A wrapper to stream information from Twitter's Full-Archive Search Endpoint
A wrapper to stream information from Twitter's Full-Archive Search Endpoint. To exploit this library, one must have approved academic research access.
RP-GAN: Stable GAN Training with Random Projections
RP-GAN: Stable GAN Training with Random Projections This repository contains a reference implementation of the algorithm described in the paper: Behna
Create images and texts with the First Order Generative Adversarial Networks
First Order Divergence for training GANs This repository contains code accompanying the paper First Order Generative Advesarial Netoworks The majority
Draw random mazes in python
a-maze Draw random mazes in python This program generates and draws a rectangular maze, with an entrance on one side and one on the opposite side. The
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Non-Metric Space Library (NMSLIB) Important Notes NMSLIB is generic but fast, see the results of ANN benchmarks. A standalone implementation of our fa
Get random jokes bapack2 on telegram
Jokes Bapack2 Telegram Bot Get random jokes bapack2 from jokes-bapack2-api on telegram bot Screenshot Requirements python pip pipenv python-telegram-b
Discord bot code to stop users that are scamming with fake messages of free discord nitro on servers in order to steal users accounts.
AntiScam Discord bot code to stop users that are scamming with fake messages of free discord nitro on servers in order to steal users accounts. How to
Pelican plugin that adds site search capability
Search: A Plugin for Pelican This plugin generates an index for searching content on a Pelican-powered site. Why would you want this? Static sites are