Breenda Das (ds-brx)

ds-brx

Geek Repo

Location:Navi Mumbai, India

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Breenda Das's repositories

Customer-review-app

A sentiment analysis application with an inbuilt bot that scrapes the comment section of a twitter post for generating interactive customer review insights.

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Time-series-analysis-project

Time series analysis on NIFTY-50 index stock data. The project visualises trends in stock data and explores various time-series analysis models such as ARIMA, ARMA and deep learning models such as LTSM and RNN to predict stock prices with the highest accuracy.

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EDA-Plotly

EDA and Feature engineering with Plotly library!

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HackerEarth-MLhack

HackerEarth Machine Learning Challenge: Carnival Wars! Nov 14, 2020, 08:30 PM IST - Dec 04, 2020, 08:30 PM IST

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Tweepy-Sentiment-Analysis

Scraping twitter using Tweepy and exploring different preprocessing techniques and models for sentiment analysis.

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Feature-Engineering-NLP

Feature engineering with the help of HuggingFace transformers, Tensorflow, Keras, TextBlob, NLTK, Sci-kit learn etc.

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algorithms

Minimal examples of data structures and algorithms in Python

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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coco_filter

Filter coco by category

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CRAFT-Remade

Implementation of CRAFT Text Detection

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crnn.pytorch

Convolutional recurrent network in pytorch

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css-personal-website

Personal Website - 2 (Angela Yu)

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deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

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Image-Preprocessing-for-OCR

Preprocessing techniques for randomly clicked pictures for easy OCR.

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ivy

The Unified Machine Learning Framework

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Kaggle-Task1

Have You Ever Eaten These Foods? Results from a public survey: kaggle notebook1

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my_first_website

First task - Angela Yu

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my_unet

unet_model

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OCR-and-Extraction-PDF

OCR and extraction of data from pdf files

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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Seattle-Airbnb-Dataset-Analysis

Seattle Airbnb Dataset Analysis to predict prices of accommodations based on various features. Trained on a simple linear regression model. Visualisations by Seaborn, Pandas and Matplotlib library.

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sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

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stitch_det

Stitch and Detection pipeline

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Synthetic-Data-Generation

Synthetic data generation using a given template. Generated data are of PDF format. Every PDF file is filled with custom generated data.

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unet_demo

unet implementation in pytorch

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Yolov5_DeepSort_Pytorch

Real-time multi-object tracker using YOLO v5 and deep sort

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