ritaprava95 Goto Github PK

amazonreview

The aim is to categorize reviews on amazon, given the title and the body of the review using RNN. I will use 100 dimentional Global Vector of 6B size for word embeddings. As a recurrent unit I am going to use LSTM for both Title and Text body

code_gladiator_neighbors_and_party

corona_text_classification_fastaiv2

Text Classification Using FastAI V2

custom_entity_extraction_spacy3.5

Making a custom entity extraction model using spacy 3.5 using both conventional and transformer background. I will also try the spancat pipepline along with the ner.

custom_entity_extraction_transformers

Performing named entity extraction task using Huggingface Transformers

custom_object_detection_yolov8

Custom object detection using YOLO v8 from ultralytics

custom_object_segmentaion_yolov8

Segment weapons and non-weapons in an image using YOLO v8

datastructures

Data Structure with Python

dog_vs_cats

Kaggle 'Dogs vs Cats' image classification problem.

email_classification_transformers

I will perform a text classification tast using various Transformer like BERT, DistilBERT, ElLECTRA models, mostly from Huggingface community

extractive_question_answering_transformers

Question Answering with transformer models e.g. GPT

facerecognition

This application is a dedicated to detect human faces and recognize them in a video. It detects any face but the recognizer is trained to recognize only me and my flatmate and it does a pretty good job.

flask2app

gardennerd

There is a data set containing 100+ labeled types of flowers' images. Given a new image of a flower of one of these categories we need to classify the image.

generative_adversarial_network_fastaiv2

Training a custom GAN model for image generation.

heart_disease_uci

Analysis of a open source heart disease dataset

housing_price

intelstockpriceprediction

Stock price prediction for Intel corporation.

invoice_processing

Object detection in an invoice and get entities using deep learning

mcq_distractors

In this project we are given set of question-answer pairs as input and some distractors( 1-3) are given as target. We have to prepare distractors when such a pair is given to us. I have taken multiple approach including attention based model to address this issue

opencv_3_knn_character_recognition_python

rasa-masterclass

Data and code files for specific Rasa Masterclass episodes

sentiment_analysyis_twitter

support_machine

titanic

Kaggle Titanic Challenge

weapon_segmentaion

Segmentation of weapons and non-weapon tools using deep learning

weatherbot_tutorial

yoga_pose_image_classification_fastai_v2

This repo is to demonstrate how to perform an image classificatiuon task in FastAI V2