An Introduction and exploration of Meta learning architecture specifically few-shot-learning. Our goal is to be able to classify new objects never seen it in the training data with very few examples.

Introduction to LIME

Want help understanding Java methods and code patterns? You can find it all here in this repository. Anagrams, manipulating arrays, binary search, and more...

This repo is a collection of all the Interview Query's SQL interview question.

Fizz buzz is a popural game to train children about divisibility this is a website where you can see the answer of numbers according to game rules

Dynamic quiz app using Json and HTML. This is coded in python using pyqt5 framework

A collection of super simplified explanations for topics that even Wikipedia makes overly complex

Tabular data interpretation and explanation

Here I upload my C++ STL program which i have done during Covid-19.

Implementation of various Reinforcement Learning Algorithms

It is a seq2seq encoder decoder chatbot using keras and with attention

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…