explaination

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 Convolutional Network.

React源码解析

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

Implementation of various Reinforcement Learning Algorithms

Implementation of the research paper of Ablation Cam which is the alternative to the current SOTA gradcam

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

Tabular data interpretation and explanation

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

Demo implementations of various design patterns based on the pluralsight course Design Patterns Library

Introduction to LIME

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.