Ritesh Kumar Malaiya's repositories
network_anomaly_detection_deep_learning
This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.
Camera-Based-Blind-Spot-Detection-System
This code is written for the purpose of paper published in
DataMiningSpecialization
My Note from Data mining specialization
dynamic_topic_modeling
Approximating Latent Semantic indexing on streaming data using Adaptive learning methods
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
CarND-Vehicle-Detection
My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.
Multi-Variate-Analysis
Multi-Variate exploratory analysis on environmental conditions for 137 countries to explore any patterns, if exists, between Happiness levels and environmental conditions
cdm-measurement-invariance
This project has been conducted under the supervision of Dr. Richard Golden at COINS Lab in University of Texas at Dallas.
cs231n
cs231n assignments
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
ds_kaggle_repo_titanic
Learning Machine Learning using Kaggle dataset
GettingAndCleaningData
For Coursera Data Science Specialization
Hidden-Markov-Models-pymc3
Implementation of Hidden Markov Models in pymc3
ReproducableResearch
Coursera - documentation related
TeamPerformance-MachineLearning
ME Project.
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners