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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

artificial-intelligence

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

cloudcode-projects

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-scientists-guide-apache-spark

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

data-viz-for-ds

My data visualization demo

data_science

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

deepops-station

A short foray into provisioning a full single node GPU enabled Kubernetes cluster on my home PC

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

diploma-thesis

Diploma thesis "Concurrent Programming for Scalable Web Architectures" released under Creative Commons license

django-all-access_tutorial

This tutorial describes how to build a site using 3rd part auth with django-all-access

faust-kafka-example

findingepics

This is the repo for an activity recommender web application based on VeloSpark

flask

Container for flask example projects and tutorials

fraud-detection-case-study

A great project for showing the power of machine learning in fraud detection

galvanize_hire_predictor

This is a data analysis and modeling project I did to predict the probability of a student being hired given a set up input variables

gdmacmillan.github.io

Github pages blog built with Jekyll

gpu-jupyter

Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.

gpu-puzzles

Solve puzzles. Learn CUDA.

homework

Assignments for CS294-112.

julia-nlp-and-information-retrieval

Introduction to using Julia tools to extract the richness and context of human language in numeric/vector form

juliadb_intro

jupyter notebook explaining basic operations with juliaDB and a use case involving in memory and out of core processing on a large group of files.

kaggle-protein-classification

Human Protein Atlas Image Classification - Classify subcellular protein patterns in human cells

kaggle_oic_object_detection

kickstarter_case_study

Analysis of Kickstarter campaign dataset and models which predict campaign success and staff picks

learndatascience

Open Content for self-directed learning in data science

lensflare

Python repository for deep learning using Tensorflow and Numpy

linregvb

Code for my paper "Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression"