Anagram Generator in Python

Overview

Anagrams Generator

Header This is a program for computing multiword anagrams. It makes no effort to come up with sentences that make sense; it only finds anagrammatic sentences, irrespective of meaning.

The simplest way to use it:

	find_anagrams(sentence)

This will return, and print on the screen, all the anagrams of sentence

Select the Dictionary

By default, select my dictionary of words is English. You can also select the Spanish dictionary.

find_anagrams(sentence ,dict_file='english.txt')
find_anagrams(sentence ,dict_file='spanish.txt')

Or pass your own dictionary. The dictionary format must be a text document with one word per line. An example of a mini-dictionary would be:

dog
home
fun

Include Words

If there are words that you want to be in your anagram, you include them like this:

find_anagrams(sentence, include=['dog','panda'])

It will only return the anagrams of sentence that contain the word dog and panda.

Exclude Words

If there are words that you dont want to be in your anagram, you exclude them like this:

find_anagrams(sentence, exclude=['cat'])

It will only return the anagrams of sentence that do not contain the word cat.

Console

If you want to use it more quickly you can simply call it from the console in the following way:

python anagrams.py  car has +a -rash -cash
>>> a crash
>>> a chars
Owner
Day Fundora
Day Fundora
The official implementation of NeurIPS 2021 paper: Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks

Introduction This repository includes the source code for "Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks", which is pu

machen 11 Nov 27, 2022
This is the official PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning".

Artistic Style Transfer with Internal-external Learning and Contrastive Learning This is the official PyTorch implementation of our paper: "Artistic S

51 Dec 20, 2022
A 1.3B text-to-image generation model trained on 14 million image-text pairs

minDALL-E on Conceptual Captions minDALL-E, named after minGPT, is a 1.3B text-to-image generation model trained on 14 million image-text pairs for no

Kakao Brain 604 Dec 14, 2022
Pytorch implementation of various High Dynamic Range (HDR) Imaging algorithms

Deep High Dynamic Range Imaging Benchmark This repository is the pytorch impleme

Tianhong Dai 5 Nov 16, 2022
3D ResNet Video Classification accelerated by TensorRT

Activity Recognition TensorRT Perform video classification using 3D ResNets trained on Kinetics-400 dataset and accelerated with TensorRT P.S Click on

Akash James 39 Nov 21, 2022
Adjust Decision Boundary for Class Imbalanced Learning

Adjusting Decision Boundary for Class Imbalanced Learning This repository is the official PyTorch implementation of WVN-RS, introduced in Adjusting De

Peyton Byungju Kim 16 Jan 04, 2023
Identify the emotion of multiple speakers in an Audio Segment

MevonAI - Speech Emotion Recognition Identify the emotion of multiple speakers in a Audio Segment Report Bug ยท Request Feature Try the Demo Here Table

Suyash More 110 Dec 03, 2022
scikit-learn inspired API for CRFsuite

sklearn-crfsuite sklearn-crfsuite is a thin CRFsuite (python-crfsuite) wrapper which provides interface simlar to scikit-learn. sklearn_crfsuite.CRF i

417 Dec 20, 2022
Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics".

Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics This repository is the official PyTorch implementation of "Physics-aware Differ

USC-Melady 46 Nov 20, 2022
Trajectory Variational Autoencder baseline for Multi-Agent Behavior challenge 2022

MABe_2022_TVAE: a Trajectory Variational Autoencoder baseline for the 2022 Multi-Agent Behavior challenge This repository contains jupyter notebooks t

Andrew Ulmer 15 Nov 08, 2022
Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"

Zero-DCE and Zero-DCE++(Lite architechture for Mobile and edge Devices) Papers Abstract The paper presents a novel method, Zero-Reference Deep Curve E

Tauhid Khan 15 Dec 10, 2022
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

merged_depth runs (1) AdaBins, (2) DiverseDepth, (3) MiDaS, (4) SGDepth, and (5) Monodepth2, and calculates a weighted-average per-pixel absolute dept

Pranav 39 Nov 21, 2022
Code for the paper "Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness"

DU-VAE This is the pytorch implementation of the paper "Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness" Acknowledgement

Dazhong Shen 4 Oct 19, 2022
Age Progression/Regression by Conditional Adversarial Autoencoder

Age Progression/Regression by Conditional Adversarial Autoencoder (CAAE) TensorFlow implementation of the algorithm in the paper Age Progression/Regre

Zhifei Zhang 603 Dec 22, 2022
YOLOv7 - Framework Beyond Detection

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ

JinTian 3k Jan 01, 2023
PantheonRL is a package for training and testing multi-agent reinforcement learning environments.

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

Stanford Intelligent and Interactive Autonomous Systems Group 57 Dec 28, 2022
Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equations

ODE GAN (Prototype) in PyTorch Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary

Somshubra Majumdar 15 Feb 10, 2022
For IBM Quantum Challenge 2021 (May 20 - 26)

IBM Quantum Challenge 2021 Introduction Commemorating the 40-year anniversary of the Physics of Computation conference, and 5-year anniversary of IBM

Qiskit Community 140 Jan 01, 2023
2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

TableMASTER-mmocr Contents About The Project Method Description Dependency Getting Started Prerequisites Installation Usage Data preprocess Train Infe

Jianquan Ye 298 Dec 21, 2022
ML-based medical imaging using Azure

Disclaimer This code is provided for research and development use only. This code is not intended for use in clinical decision-making or for any other

Microsoft Azure 68 Dec 23, 2022