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algorithms

Minimal examples of data structures and algorithms in Python

coco_filter

Filter coco by category

craft-remade

Implementation of CRAFT Text Detection

crnn.pytorch

Convolutional recurrent network in pytorch

css-personal-website

Personal Website - 2 (Angela Yu)

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.

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

dl-lab24

donatebin

eda-plotly

EDA and Feature engineering with Plotly library!

feature-engineering-nlp

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

hackerearth-mlhack

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

image-preprocessing-for-ocr

Preprocessing techniques for randomly clicked pictures for easy OCR.

ivy

The Unified Machine Learning Framework

kaggle-task1

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

medic

my_first_website

First task - Angela Yu

my_unet

unet_model

ocr-and-extraction-pdf

OCR and extraction of data from pdf files

pytorch-unet

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

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

qtt

A framework for QuickTune

quicktune

[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

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.

sort

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

stitch_det

Stitch and Detection pipeline

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.

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.

tweepy-sentiment-analysis

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

unet_demo

unet implementation in pytorch