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4-simple-steps-in-builiding-ocr

Optical character recognition (OCR) is process of classification of opti- cal patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. Keras Deep learning Network is used at here in recognising the Text characters and OpenCV is used in segmenting the text and Noise normalization.

activedirectory

adam_qas

ADAM - A Question Answering System. Inspired from IBM Watson

adnn

Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.

ai-powered-search

Work in Progress for AI-Powered Search (Manning Publications)

albert_finetune_with_pretrain_on_custom_corpus

1. Pretrain Albert on custom corpus 2. Finetune the pretrained Albert model on downstream task

allennlp

An open-source NLP research library, built on PyTorch.

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

angularjs-d3js-dashboard

Angular, D3 dashboard

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

autocorrect

Python 3 Spelling Corrector

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

baysmm

Model for learning document embeddings along with their uncertainties

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

bilstm

A BiLSTM in Keras for POS tagging

carina

Carina automation framework: Web, Mobile, API, DB

cdqa

An End-To-End Closed Domain Question Answering System.

chatbot-en-espanol

Chatbot in spanish using differents model: Seq2Seq model with Luong attention and transformer

chrome-docker

Chrome, in a Docker container.

clarity

A behavioral analytics library that uses dom mutations and user interactions to generate aggregated insights.

cleanframes

type-class based data cleansing library for Apache Spark SQL

clevr-graph

CLEVR graph: A dataset for graph based reasoning

contextual_augmentation

Contextual augmentation, a text data augmentation using a bidirectional language model.

contextualspellcheck

✔️Contextual word checker for better suggestions

coreference-resolution

Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

cs-224u-project

Recurrent versus Recursive Approaches Towards Compositionality in Semantic Vector Spaces. For paper, see: https://sites.google.com/site/anayebihomepage/cs224ufinalproject

cs224d

Deep Learning for Natural Language Processing in Stanford

cs224u

Code for Stanford CS224u

cs224u-1

cs224u

cudf

cuDF - GPU DataFrame Library