ankitlakra24

ankitlakra24's Stars

• brightmart/text_classification

  all kinds of text classification models and more with deep learning

  Language:Python7.9k2991242.6k

• bnsreenu/python_for_microscopists

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

  Language:Jupyter Notebook4k108742.4k

• chickenbestlover/RNN-Time-series-Anomaly-Detection

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

  Language:Python1.2k3752316

• yashk2810/Image-Captioning

  Image Captioning using InceptionV3 and beam search

  Language:Jupyter Notebook3281211122

• LooperXX/CS224n-Resource

  CS224n Assignment & Readings

  Language:JavaScript2423275

• krishnaik06/Handle-Imbalanced-Dataset

  Language:Jupyter Notebook11860152

• l3cube-pune/MarathiNLP

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

  Language:Jupyter Notebook1108315

• laxmimerit/NLP-Tutorials-with-HuggingFace

  Learn NLP Tutorials with HuggingFace Transformers

  Language:Jupyter Notebook631027

• SilentFlame/Named-Entity-Recognition

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

  Language:Python455516

• bwallace/CNN-for-text-classification

  A simple CNN implementation in Keras.

  Language:Python303015

• NirantK/Hinglish

  Hinglish Text Classification

  Language:Jupyter Notebook3031710

• prashant9501/DataHour

  Language:Jupyter Notebook302026

• EvgeniyaMartynova/MLiP_M5

  Language:Jupyter Notebook26246

• l3cube-pune/code-mixed-nlp

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

  24211

• ivallesp/cFavorita

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

  Language:Jupyter Notebook15114

• sakshidgoel/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.

  Language:Jupyter Notebook131010

• skn1998/Emotions-Classification-in-Hindi-Text

  Codes for Emotions Classification in Hindi Text

  Language:Jupyter Notebook10203

• ankuPRK/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

  Language:Python9214

• anshulwadhawan/emotion_detection

  Language:Jupyter Notebook5200

• OnkarRaut45/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.

  Language:HTML4

• singhnivedita/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.

  Language:Jupyter Notebook43

• keshav22bansal/ML-Interview

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

  3101

• prashant9501/NLP_Handwritten_Notes

  2