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application-of-word2vec-in-phoneme-recognition

Build an attention-based model for speech recogntion.Use the Word2vec model to help to train the attention model.

automated-resume-screening-system

Automated Resume Screening System using Machine Learning (With Dataset)

averagedperceptronpython

Clone of "A Good Part-of-Speech Tagger in about 200 Lines of Python" by Matthew Honnibal

awaz

awesome-deepfakes

Everything Deepfakes

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-urdu

📖 A curated list of resources dedicated to Urdu language.

awesome-urdu-1

Repository dedicated to a collection of resources and helping material for Urdu language Processing related tasks

bertsummarizer

blink

Entity Linker solution

cantonese-pos-tagger

Tagging written Cantonese with part-of-speech information, using the Stanford POS Tagger and the Hong Kong Cantonese Corpus.

capture_image

Create images by URL.

chemprop

Message Passing Neural Networks for Molecule Property Prediction

classical-arabic-named-entity-recognition-corpus

Classical Arabic Named Entity Recognition Corpus

codestackr

comfapi

common

Loading and writing jpeg, png, and tiff images. Math and utility functions used by my other repos.

covid19

Covid19 predictions of countries using deep learning.

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

ctc_pytorch

CTC end -to-end ASR for timit and 863 corpus.

ctts

Cantonese TTS frontend

datasets-for-urdu-news

Datasets for Urdu news

distance_learning

Sentiment analysis on the tweets about distance learning with TextBlob

dm-vton

👗 DM-VTON: Distilled Mobile Real-time Virtual Try-On

dmag5

Depth map from stereo pair. Implementation of "Fast Cost-Volume Filtering for Visual Correspondence and Beyond" by Christoph Rhemann, Asmaa Hosni, Michael Bleyer, Carsten Rother, and Margrit Gelautz.

easyocrexe

eng_spacysentiment

sentiment analysis using spacy

entity-recognition-in-resumes-spacy

Automatic Summarization of Resumes with NER -> Evaluate resumes at a glance through Named Entity Recognition

er9b

Epipolar rectification of stereo pair. Implementation of "Quasi-Euclidean Uncalibrated Epipolar Rectification" by A. Fusiello and L. Irsara.

faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.