karan-katiyar Goto Github PK

aima-search-stratergy-for-missionaries-cannibals

bert_tutorial

Code for using BERT embeddings and fine-tuning for classification tasks

breast-cancer-diagnosis-with-support-vector-machines-k-nn

we will use the Wisconsin Breast Cancer data set, which has already been pre-processed and partitioned into training, validation and test sets. Numpy's loadtxt command can be used to load CSV files.

comparatively-finetuning-bert

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

distributedfilesystemmonitor

fast-rcnn

Faster R-CNN for Object Detection

fnc-1

Fake News Challenge

image-compression-using-k-means

Our goal is to compress Images using k-means clustering to find an optimal value of k for which the integrity of the image is maintained.

linear-regression-on-synthetic-data

This assignment shows how we can extend ordinary least squares regression, which uses the hypothesis class of linear regression functions, to non-linear regression functions modeled using polynomial basis functions and radial basis functions.

onlineeducation

pytorch_image_classification_on_cifar

rbfs-and-a-star-search-solution-to-usa-map-roadtrip-problem

rudimentarydatabasemanagementengine

sentiment_detection

shoppingcart

Shopping cart based on MEAN stack, that is MongoDB, Express, Angular & NodeJS

spam-email-filtering

I used Naive Bayes and Logistic Regression for Text Classification to identify Emails as Ham & Spam, as described in http://nlp.stanford.edu/IR-book/pdf/13bayes.pdf

stance_detection

Detecting stance a news article is taking on the headline.

tensorflow-image-classification-using-mnist

TensorFlow image classification using MNIST

tensorflow_image_classification_using_resnetv2_on_cifar