Pinned Repositories
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
capsule_net_pytorch
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
cheatsheets
My cheatsheets
cheatsheets-1
RStudio Cheat Sheets
dog-breed-classifier
Dog Breed Classification using CNN
os-sched
Pre-emptive Priority Scheduling Algorithm based on Dynamic Priority
plagiarism-detection
Plagiarism detection on corpus of short answers trained and deployed on AWS
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
sentiment-analysis
Sentiment Analysis Model for IMDb dataset, trained and deployed on AWS
ud120-projects
Starter project code for students taking Udacity ud120
hawk-praxs's Repositories
hawk-praxs/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
hawk-praxs/cheatsheets
My cheatsheets
hawk-praxs/cheatsheets-1
RStudio Cheat Sheets
hawk-praxs/dog-breed-classifier
Dog Breed Classification using CNN
hawk-praxs/os-sched
Pre-emptive Priority Scheduling Algorithm based on Dynamic Priority
hawk-praxs/plagiarism-detection
Plagiarism detection on corpus of short answers trained and deployed on AWS
hawk-praxs/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
hawk-praxs/sentiment-analysis
Sentiment Analysis Model for IMDb dataset, trained and deployed on AWS
hawk-praxs/ud120-projects
Starter project code for students taking Udacity ud120
hawk-praxs/coding-interview-university
A complete computer science study plan to become a software engineer.
hawk-praxs/coursera
Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera
hawk-praxs/cs231n.github.io
Public facing notes page
hawk-praxs/datasciencecoursera
John Hopkins Data Science Course Specialization
hawk-praxs/datasharing
The Leek group guide to data sharing
hawk-praxs/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
hawk-praxs/dlaicourse
hawk-praxs/exercism
My solutions for Exercism
hawk-praxs/fastbook
Draft of the fastai book
hawk-praxs/GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
hawk-praxs/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
hawk-praxs/hawk-praxs
hawk-praxs/intro-to-ml-tensorflow
Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course
hawk-praxs/JetBrainsTools
This repository comprises of the learning resources of JetBrains Tools
hawk-praxs/ml-on-gcp
Machine Learning on Google Cloud Platform
hawk-praxs/ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
hawk-praxs/TF-2.0-Hacks
Contains my explorations of TensorFlow 2.x
hawk-praxs/the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix
hawk-praxs/ud-tf-dl
TensorFlow examples
hawk-praxs/unix-workbench-coursera-project
The Unix Workbench Coursera guessinggame Project
hawk-praxs/wtfml
WTFML: Well That's Fantastic Machine Learning