41 Repositories
Python base64-decoding Libraries
Library for converting from RGB / GrayScale image to base64 and back.
Library for converting RGB / Grayscale numpy images from to base64 and back. Installation pip install -U image_to_base_64 Conversion RGB to base 64 b
Julia package for contraction of tensor networks, based on the sweep line algorithm outlined in the paper General tensor network decoding of 2D Pauli codes
Julia package for contraction of tensor networks, based on the sweep line algorithm outlined in the paper General tensor network decoding of 2D Pauli codes
hashily is a Python module that provides a variety of text decoding and encoding operations.
hashily is a python module that performs a variety of text decoding and encoding functions. It also various functions for encrypting and decrypting text using various ciphers.
A python implementation of our standard object-oriented encryption package, shipped with most apps.
Encryption Manager (python edition) VerseGroup's native encryption manager adapted for python applications. Function Generate new set of private and p
Official Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021)
TDEER 🦌 🦒 Official Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021) Overview TDEE
End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021)
PDVC Official implementation for End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021) [paper] [valse论文速递(Chinese)] This repo supports:
Encode and decode text application
Text Encoder and Decoder Encode and decode text in many ways using this application! Encode in: ASCII85 Base85 Base64 Base32 Base16 Url MD5 Hash SHA-1
Python codecs extension featuring CLI tools for encoding/decoding anything
CodExt Encode/decode anything. This library extends the native codecs library (namely for adding new custom encodings and character mappings) and prov
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation.
Understanding Minimum Bayes Risk Decoding This repo provides code and documentation for the following paper: Müller and Sennrich (2021): Understanding
Fast Base64 encoding/decoding in Python
Fast Base64 implementation This project is a wrapper on libbase64. It aims to provide a fast base64 implementation for base64 encoding/decoding. Insta
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention This repository is the official implementation of DeBERTa: Decoding-enhanced BERT with Dis
Code for Massive-scale Decoding for Text Generation using Lattices
Massive-scale Decoding for Text Generation using Lattices Jiacheng Xu, Greg Durrett TL;DR: a new search algorithm to construct lattices encoding many
dict subclass with keylist/keypath support, normalized I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xml, yaml) and many utilities.
python-benedict python-benedict is a dict subclass with keylist/keypath support, I/O shortcuts (base64, csv, ini, json, pickle, plist, query-string, t
MelGAN test on audio decoding
Official repository for the paper MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis The original work URL: https://github.com
Простой шифратор работающий по ключам.
deCryptor Что это такое? Простой шифратор работающий по ключам и без них. Как пользоваться? СМОТРЕТЬ ИЗОБРАЖЕНИЕ Разработчики Роман Слабицкий - написа
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks Requirements python 0.10+ rdkit 2020.03.3.0 biopython 1.78 openbabel 2.4
'Aligned mixture of latent dynamical systems' (amLDS) for stimulus decoding probabilistic manifold alignment across animals. P. Herrero-Vidal et al. NeurIPS 2021 code.
Across-animal odor decoding by probabilistic manifold alignment (NeurIPS 2021) This repository is the official implementation of aligned mixture of la
Deep Learning Emotion decoding using EEG data from Autism individuals
Deep Learning Emotion decoding using EEG data from Autism individuals This repository includes the python and matlab codes using for processing EEG 2D
BaseCrack is a tool written in Python that can decode all alphanumeric base encoding schemes.
BaseCrack Decoder For Base Encoding Schemes BaseCrack is a tool written in Python that can decode all alphanumeric base encoding schemes. This tool ca
psgresizer - a PySimpleGUI application that will resize your images and BASE64 encode them.
psgresizer A PySimpleGUI Application Resize your images quickly and easily with this GUI application. Resizes and encodes to Base64 so that the result
Telegram Bot for generating and decoding QR-codes
Telegram openqrgen_bot Telegram Bot that generates from user's messages and decodes QR-codes from photos. Also contains rickroll detection :) Just typ
Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021)
TDEER (WIP) Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021) Overview TDEER is an e
Evaluating deep transfer learning for whole-brain cognitive decoding
Evaluating deep transfer learning for whole-brain cognitive decoding This README file contains the following sections: Project description Repository
A buffered and threaded wrapper for the OpenCV VideoCapture object. Can speed up video decoding significantly. Supports
A buffered and threaded wrapper for the OpenCV VideoCapture object. Can speed up video decoding significantly. Supports "with"-syntax.
This repository contains the code for the paper ``Identifiable VAEs via Sparse Decoding''.
Sparse VAE This repository contains the code for the paper ``Identifiable VAEs via Sparse Decoding''. Data Sources The datasets used in this paper wer
Burp Suite extension for encoding/decoding EVM calldata
unblocker Burp Suite extension for encoding/decoding EVM calldata 0x00_prerequisites Burp Suite Java 8+ Python 2.7 0x01_installation clone this reposi
PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
D2C: Diffuison-Decoding Models for Few-shot Conditional Generation Project | Paper PyTorch implementation of D2C: Diffuison-Decoding Models for Few-sh
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
CTC Decoding Algorithms Update 2021: installable Python package Python implementation of some common Connectionist Temporal Classification (CTC) decod
You can encode and decode base85, ascii85, base64, base32, and base16 with this tool.
You can encode and decode base85, ascii85, base64, base32, and base16 with this tool.
PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
This is the official implementation of the following paper: Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau. PICARD - Parsing Incrementally for Con
Incorporating KenLM language model with HuggingFace implementation of Wav2Vec2CTC Model using beam search decoding
Wav2Vec2CTC With KenLM Using KenLM ARPA language model with beam search to decode audio files and show the most probable transcription. Assuming you'v
Encrypt your code without a worry. Stark utilizes the base64, hashlib and Crypto lib to encrypt your code which cannot be decrypted with any online tools.
Stark Encrypt your code without a worry. Stark utilizes the base64, hashlib and Crypto lib to encrypt your code which cannot be decrypted with any onl
A Python obfuscator using HTTP Requests and Hastebin.
🔨 Jawbreaker 🔨 Jawbreaker is a Python obfuscator written in Python3, using double encoding in base16, base32, base64, HTTP requests and a Hastebin-l
codes for "Scheduled Sampling Based on Decoding Steps for Neural Machine Translation" (long paper of EMNLP-2022)
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation (EMNLP-2021 main conference) Contents Overview Background Quick to Use Furth
LightSeq is a high performance training and inference library for sequence processing and generation implemented in CUDA
LightSeq: A High Performance Library for Sequence Processing and Generation
一个关于摩斯密码解密与加密的库 / A library about encoding and decoding Morse code.
Morsecoder By Lemonix 介绍 一个关于摩斯密码解密与加密的库
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
The PyTorch-Kaldi Speech Recognition Toolkit PyTorch-Kaldi is an open-source repository for developing state-of-the-art DNN/HMM speech recognition sys
LightSeq: A High-Performance Inference Library for Sequence Processing and Generation
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.
cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python
audioread Decode audio files using whichever backend is available. The library currently supports: Gstreamer via PyGObject. Core Audio on Mac OS X via
Machine learning for NeuroImaging in Python
nilearn Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive doc
cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python
audioread Decode audio files using whichever backend is available. The library currently supports: Gstreamer via PyGObject. Core Audio on Mac OS X via