abhijeet3922/finbert_embedding

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30
Rank 839,658 (Top 17 %)
Language
Python
License
MIT License
Created almost 5 years ago
Updated over 1 year ago

abhijeet3922/finbert_embedding

abhijeet3922

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Token and sentence level embeddings from FinBERT model (Finance Domain)

Change-Detection-in-Satellite-Imagery

It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

Mail-Spam-Filtering

It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.

Speaker-identification-using-GMMs

It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data corpus.

FaceEmotion_ID

Detects Face using Haarcascades and further detects emotion in bounded face (trained a CNN emotion detector model)

Face_ID

Face Recognition using MTCNN face detector and FaceNet (pre-trained by davidsandberg) based identification.

Topic-Modelling-on-Wiki-corpus

It uses Latent Dirichlet Allocation algorithm to discover hidden topics from the articles. It is trained on 60,000 articles taken from simple wikipedia english corpus. Finally, It can extract the topic of the given input text article.

Image-compression-with-Kmeans-clustering

A lossy compression to illustrate an application of K-means clustering algorithm

PyGender-Voice

It uses GMM to train a gender detector model. The testing has been done on subset of Google's AudioSet corpus.

Text-classification-and-clustering

It demonstrates the example of text classification and text clustering using K-NN and K-Means models based on tf-idf features.

Object-recognition-CIFAR-10

It is object recognition task on CIFAR-10 dataset using CNN. It shows how to achieve 90% accuracy.

Sentiment-Analysis-using-tf-idf---Polarity-dataset

It uses term frequency and inverse document frequency to do sentiment polarity analysis on movie reviews.

Food-Classification-Task-Transfer-learning

The application demonstrates the advantage of using transfer learning for smaller datasets. Food-11 is a small dataset with 11K images for 11 categories of food. It uses features learnt by already trained VGG16 on large Imagenet data to train a classifier for Food Classification Task..

Jupyter Notebook

Predict-the-Happiness-HackerEarth-Challenge

It uses 2-layered fully connected/Dense Neural network model to predict whether the hotel reviews at TripAdvisor site are positive sentiment or negative sentiment.

tf-fashionMNIST

A tensorflow tutorial on Fashion MNIST Dataset. The aim is to showcase an implementation of tensorflow based deep learning model from scratch.

NER_Disease_Extraction_Hackathon

"Innoplexus Online Hiring Hackathon: Saving lives with AI" where disease name has to be extracted from documents. The solution employes a Time distributed BI-LSTM model to perform Named Entity Recognition with 77.8% F1 score.

Jupyter Notebook

QA-system-memory-networks-bAbI-dataset

Building a question and answering system using single layer memory network model on bAbI dataset by facebook. Currently, It is done only for single supporting fact task.

Jupyter Notebook

WNS-DS-Hackathon

It's a hackathon problem where we have to predict whether an employee will be promoted or not based on features. (HR Analytics)

Jupyter Notebook

NL2SQL

Tutorials for converting natural language to SQL (NL2SQL) to fetch required data.

Jupyter Notebook

Language-Detection-From-Text---Bi-gram-based

A bi-gram based language model used for language detection task from text

Web-Crawling-Scrapping-Bot

An application to showcase usage of selenium and beautifulsoup to crawl a website and scrap the desired page in order to extract required infromation

Jupyter Notebook

Toxic_Comment_Classification_Challenge

Building a multi-label classification model which predict a probability for each of the six possible types of comment toxicity (toxic, severe_toxic, obscene, threat, insult, identity_hate)