GitHub topics: beam-search-decoder
antonioualex/N-Gram-Language-Model-with-Beam-Search-Decoder
This repository contains an implementation of N-Gram Language Models (unigram, bigram, and trigram) and a Beam Search Decoder for correcting text with random errors. The code is written in Python and utilizes the NLTK library for natural language processing tasks.
Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

dinhngoc267/beam_search_seq2seq
An improved implementation of Beam Search Decoding in RNN-based Seq2Seq Architecture
Language: Python - Size: 30.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Lednik7/nto-ai-text-recognition
Optical Character Recognition + Instance Segmentation for russian and english languages
Language: Jupyter Notebook - Size: 47.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 27 - Forks: 2

takah29/transformer-pytorch
Language: Python - Size: 334 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

bulatkh/image_captioning
Master Project on Image Captioning using Supervised Deep Learning Methods
Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2
