ajaychawda58

UADAD

Unsupervised anomaly detection for auditing datasets and impact of categorical encodings

Fractal-Dimension

Calculate Fractal Dimension for Grayscale and Colour Images using Box Count Method

SOM_DAGMM

Code for Self Organizing Map assissted Deep Autoencoding gaussian Mixture Model for intrusion detection

ID_CNN

Intrinsic Dimension of Convolutional Neural Networks

AD

ajaychawda58

Config files for my GitHub profile.

ANNLearnHub

Important links to learn Machine Learning and Artificial Inteliigence.

Applied-Deep-Learning

Applied Deep Learning Course

LatentOE-AD

Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022

Titanic

Titanic ML Disaster

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Benchmark

A smple benchmark program in C

dirichletprocess_test_task

Test Tasks for `dirichletprocess` library in R

DLUFS

Low-rank Dictionary Learning for Unsupervised Feature Selection

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

github-slideshow

A robot powered training repository :robot:

Image_Annotation

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

NeuTraL-AD

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Regression-and-Time-Series

Resume

rsrlayer-pytorch

PyTorch implementation of Robust Subspace Recovery Layer for Unsupervised Anomaly Detection https://arxiv.org/abs/1904.00152

simpsom

Python library for Self-Organizing Maps

Survey-on-RGB-LiDAR-fusion

A seminar survey on RGB LiDAR fusion.

tikzcd-editor

A simple visual editor for creating commutative diagrams.

unsupervized_feature_selection_based_on_linear_reconstruction_loss

Implementation of the unsupervised feature selection algorithm proposed by Ono in March 2020