Pinned Repositories
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
Fractal-Dimension
Calculate Fractal Dimension for Grayscale and Colour Images using Box Count Method
ID_CNN
Intrinsic Dimension of Convolutional Neural Networks
LatentOE-AD
Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
SOM_DAGMM
Code for Self Organizing Map assissted Deep Autoencoding gaussian Mixture Model for intrusion detection
Titanic
Titanic ML Disaster
UADAD
Unsupervised anomaly detection for auditing datasets and impact of categorical encodings
ajaychawda58's Repositories
ajaychawda58/UADAD
Unsupervised anomaly detection for auditing datasets and impact of categorical encodings
ajaychawda58/Fractal-Dimension
Calculate Fractal Dimension for Grayscale and Colour Images using Box Count Method
ajaychawda58/SOM_DAGMM
Code for Self Organizing Map assissted Deep Autoencoding gaussian Mixture Model for intrusion detection
ajaychawda58/ID_CNN
Intrinsic Dimension of Convolutional Neural Networks
ajaychawda58/AD
ajaychawda58/ajaychawda58
Config files for my GitHub profile.
ajaychawda58/ANNLearnHub
Important links to learn Machine Learning and Artificial Inteliigence.
ajaychawda58/Applied-Deep-Learning
Applied Deep Learning Course
ajaychawda58/LatentOE-AD
Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
ajaychawda58/Titanic
Titanic ML Disaster
ajaychawda58/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
ajaychawda58/Benchmark
A smple benchmark program in C
ajaychawda58/dirichletprocess_test_task
Test Tasks for `dirichletprocess` library in R
ajaychawda58/DLUFS
Low-rank Dictionary Learning for Unsupervised Feature Selection
ajaychawda58/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.
ajaychawda58/github-slideshow
A robot powered training repository :robot:
ajaychawda58/Image_Annotation
ajaychawda58/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
ajaychawda58/loan-repayment-app
A streamlit application to compare loan repayments.
ajaychawda58/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
ajaychawda58/NeuTraL-AD
ajaychawda58/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 ;)
ajaychawda58/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
ajaychawda58/Regression-and-Time-Series
ajaychawda58/Resume
ajaychawda58/rsrlayer-pytorch
PyTorch implementation of Robust Subspace Recovery Layer for Unsupervised Anomaly Detection https://arxiv.org/abs/1904.00152
ajaychawda58/simpsom
Python library for Self-Organizing Maps
ajaychawda58/Survey-on-RGB-LiDAR-fusion
A seminar survey on RGB LiDAR fusion.
ajaychawda58/tikzcd-editor
A simple visual editor for creating commutative diagrams.
ajaychawda58/unsupervized_feature_selection_based_on_linear_reconstruction_loss
Implementation of the unsupervised feature selection algorithm proposed by Ono in March 2020