sambal shikhar (sambalshikhar)

sambalshikhar

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Plaksha-CDA

sambal shikhar's repositories

Document-Image-Classification-with-Intra-Domain-Transfer-Learning-and-Stacked-Generalization-of-Deep

RVL-CDIP could be looked at as the equivalent of ImageNet for the document image community. It’s certainly the largest we’ve seen in the literature. There are 400,000 total document images in the dataset. The dataset contains much noise and variance in composition of each document class. Uncompressed, the dataset size is ~100GB, and comprises 16 classes of document types, with 25,000 samples per classes. Example classes include email, resume, and invoice. Achieved an Accuracy of over 93% which beat the benchmark score of 92% based on https://paperswithcode.com/sota/document-image-classification-on-rvl-cdip

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Capstone_fog_vision

The major objective of our project is to clear the haze from the visuals and make the visuals clear. Moreover, we will be doing visibility enhancement of the degraded visuals by the foggy weather condition using Deep Neural Network.

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Food-Recommendation-System

Using a recipe dataset from https://eightportions.com/datasets/Recipes/#fn:1, we preprocess it to get only the food related items.Built a item-item similarity recommendation system based on Jaccard distance,Hamming distance,cosine simialrity etc.

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MPST-Movie-Plot-Synopses-with-Tags-A-dataset-of-movie-plot-synopses-with-story-related-tags

A multi-label class precition problem with highly unbalanced dataset

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Microsoft-Malware-Prediction

A Multi-class classification problem

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seq2seq

seq2seq models for classification

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Amazon-Fine-Food-reviews

A NLP classifier series with various Machine learning algorithms

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Atlas

Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization

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Autoencoders-for-Face-and-number-generation

An implementation for Variational Autoencoder and Auto-encoders.

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google-research

Google AI Research

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internship_assignment

Task_1,Task_2,Task_3 included

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New-York-Taxi-Demand-Predicition

Adavance Regression Problem

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SQL-Queries-on-Imdb-dataset

Given an imdb dataset,efficient queries based on JOINS,CORRELATED SUBQUERIES,SETS,NESTED QUERIES

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