Pinned Repositories
07-24-maps
Fork of Claire's code
2015-harvard-cs109
Public material for CS109
CIFAR-10-images
CIFAR-10 raw jpeg images
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
COVID19_CT
cs231n.github.io
Public facing notes page
datasharing
The Leek group guide to data sharing
datatrans
Digitized-vs-Image-ECG-classification
Classification of ECG data from 12 lead standard images as well as 12 lead digital ECG data
Hands-On-Data-Structures-and-Algorithms-with-Python-Third-Edition
Data Structures and Algorithms with Python – Third Edition
ashokohio's Repositories
ashokohio/Hands-On-Data-Structures-and-Algorithms-with-Python-Third-Edition
Data Structures and Algorithms with Python – Third Edition
ashokohio/07-24-maps
Fork of Claire's code
ashokohio/cs231n.github.io
Public facing notes page
ashokohio/Digitized-vs-Image-ECG-classification
Classification of ECG data from 12 lead standard images as well as 12 lead digital ECG data
ashokohio/Dimensionality_reduction
ashokohio/DLNotebooks
ashokohio/DTMF-Krishnamurthy
ashokohio/duke_ml_2022
Duke Machine Learning Summer School 2022
ashokohio/fundamental-python-workshop
Fundamental Python workshop, proudly presented by the UCL Data Science Society
ashokohio/git-workshop
The Git/Github workshop provided by Zhaoxuan "Tony" Wu, at the UCL Data Science Society (UCLDSS)
ashokohio/hierarchical_clustering
ashokohio/keras-io
Keras documentation, hosted live at keras.io
ashokohio/Kmeans-clustering-workshop
ashokohio/machine-learning-book
Raschka Book - Code Repository for Machine Learning with PyTorch and Scikit-Learn
ashokohio/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
ashokohio/mlvss2021
Duke Machine Learning Virtual Summer School 2021
ashokohio/nsqip_procedurespecific
CHIP 690:Predict procedure specific outcomes from the NSQIP database using neural networks and logistic regression
ashokohio/numpy-workshop
ashokohio/Object_oriented_programming
ashokohio/pandas-workshop
ashokohio/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
ashokohio/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
ashokohio/python-logic-workshop
ashokohio/RoboDocumentation
Documentation for ROBOKOP.
ashokohio/SQL_workshop
ashokohio/svm-workshop
ashokohio/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
ashokohio/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
ashokohio/tutorials
MONAI Tutorials
ashokohio/unet
Generic U-Net Tensorflow 2 implementation for semantic segmentation