Ankit Lakra's starred repositories

NLP-Tutorials-with-HuggingFace

Learn NLP Tutorials with HuggingFace Transformers

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CS224n-Resource

CS224n Assignment & Readings

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Bilingual-Sentiment-Analysis

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

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Named-Entity-Recognition

Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.

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code-mixed-nlp

This repository is dedicated to development of code-mixed language resources.

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python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

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SemEval2020-Task9

Official submission to SemEval 2020 Task 9 SentiMix: Sentiment Analysis for Code-Mixed Social Media Text. System name: NITS-Hinglish. The task is to predict the sentiment of a given code-mixed tweet. The sentiment labels are positive, negative, or neutral, and the code-mixed languages will be English-Hindi.

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Hinglish

Hinglish Text Classification

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ML-Interview

Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

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SPEECH-EMOTION-RECOGNITION-HINDI-ENGLISH

Detection of human emotions through voice-pattern and speech-pattern analysis has many applications such as better assisting human-machine interactions. In particular, we worked on classification models of emotions elicited by speeches based on deep neural networks (CNNs), Support Vector Machine (SVM), Multilayer Perceptron (MLP) Classification based on acoustic features such as Mel Frequency Cepstral Coefficient (MFCC). The models have been trained to classify three different emotions (happy, sad, angry). These 3 emotions will be identified using Hindi audio dataset extracted from Bollywood movies/series.

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MarathiNLP

Marathi NLP - is a repository dedicated to development of tools and resources for Marathi language.

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Emotion-Recognition-in-Hindi-Speech

Classifying utterances in Hindi speech in one of the 8 emotional states (anger, fear, disgust, neutral, sad, happy, surprise, sarcastic) in spoken speech in Hindi

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Emotions-Classification-in-Hindi-Text

Codes for Emotions Classification in Hindi Text

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Image-Captioning

Image Captioning using InceptionV3 and beam search

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RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

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cFavorita

A project for solving demand forecast of a medium retailer using a simple Deep Learning model

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CNN-for-text-classification

A simple CNN implementation in Keras.

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text_classification

all kinds of text classification models and more with deep learning

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