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12 search results found

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Rnn_lstm_from_scratch ⭐ 142

How to build RNNs and LSTMs from scratch with NumPy.

Question Answering ⭐ 128

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Repo 2016 ⭐ 105

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Lstm Text Generation ⭐ 70

Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

Yelp_comments_classification_nlp ⭐ 61

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

Text Generation Bilstm Pytorch ⭐ 43

In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.

The Ultimate Google Tensorflow Developer Certificate Exam Study Guide ⭐ 35

Google TensorFlow Developer Certificate Study Guide

Lstm Rnn Vad ⭐ 34

Voice Activity Detection LSTM-RNN learning model

Contextuallstm ⭐ 26

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Ml Spam Sms Classification ⭐ 23

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Sentiment Analysis Amazon Products Reviews ⭐ 20

NLP with NLTK for Sentiment analysis amazon Products Reviews

Ner Lstm Cnn Pytorch ⭐ 18

End-to-end-Sequence-Labeling-via-Bi-directional-LS

Multimodal Transformer ⭐ 17

Attention Based Multi-modal Emotion Recognition; Stanford Emotional Narratives Dataset

Challenges ⭐ 14

Mono-repo containing several challenges in a variety of Data Science and Machine Learning topics.

Financial News For Stock Prediction Using Dp Lstm Nips 2019 ⭐ 13

Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.

Ntua Slp Nlp ⭐ 13

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Ling Gender ⭐ 12

A Natural Language Processing model trained with over 1,00,000 (1 Lakh) names is used to predict a gender of a person based on the first name of the person.This model is created using Long Short Term Memory(LSTM) a variant of Recurrent Nueral Network which has training accuracy of 99.35% and tested over 11,000 samples with a test accuracy of 89.08% which is quite high in nlp for out of sample test cases.

Arguminsci ⭐ 11

Analyze Argumentation and Rhetorical Aspects in Scientific Writing.

Data Science Portfolio ⭐ 10

Pyramidal Recurrent Units (PRUs): A New LSTM Unit

Trump Bot ⭐ 9

Recurrent Neural Network that predicts word-by-word

Natural Language Processing ⭐ 9

This repository contains my notes and codes which I will refer in future projects

Text2emoji ⭐ 8

Text2Emoji helps you add necessary emojis to your text by analysing the emotion behind the writing.

Named Entity Recognition ⭐ 8

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

Emoji Prediction Using Deep Learning ⭐ 7

This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.

Fake News Detection ⭐ 7

Fake News Detection using related Headline Article pair

Sentiment Analysis Reviews ⭐ 6

Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM).

Bazingabot ⭐ 5

Simple but effective Knowledge-bot built with Seq2Seq and LSTM

Cs224n Natural Language Processing Solutions ⭐ 5

My assignment solutions for the CS224n course offered by Stanford on natural language processing with deep learning.

Toxic Comments Classification ⭐ 5

Predict the toxicity rating of comment made by the user.

A hierarchical bi-LSTM model trained to identify the author of a given email (SMAI@IIIT-H 2017)

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