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100-days-of-ml-code

100 Days of ML Coding

adventureworks-neo4j

Importing AdventureWorks (SQL Server Sample Database) to Neo4j

ai-engineering

Controlling AI models distribution and versioning with MLflow and Minio/S3.

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algebraixlib

algebraixlib is a library that provides constructs and facilities to harness the fundamentals of Data Algebra(tm).

anomaly-detection

Code and data for the OReilly blog post about anomaly detection using Apache MXNet.

apis-101-workshop

Code for a workshop I am giving to a class of NYU students

awesome-design-patterns

A curated list of software and architecture related design patterns.

bikesharetutorial

Azure Machine Learning workbench tutorial and documentation

bikesharingpredictionpython

Build a predictive model with RevoScalePy using SQL Server 2017 RC1 Machine Learning Services

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

bluemixsparknotebooks

Spark Notebooks - Use them on IBM Bluemix or other platforms

calibrationnn

Model Calibration with Neural Networks

cloud-native-python

Cloud Native Python, published by Packt

codekatas

Keep your skills sharp by implementing basic algorithms and data structures

crm-manage

企业数据管理系统 【Django组件开发】【权限、路由组件】可拆卸系统组件，适用性强

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

data-science-algorithms-in-a-week

Data Science Algorithms in a Week, published by Packt

dataprocessing_python

Basic data processing functions

datasets

CSV datasets used in Plotly API examples

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-for-inverse-problems

This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.

deep-learning-nano-foundation

Udacity's Deep Learning Nano Foundation program.

deep_learning_object_detection

A paper list of object detection using deep learning.

developerworks

differential-equations

Jupyter notebooks on differential equations and how to solve them using Python.

docker-spark

Apache Spark docker image

ece-239as-project

RNNs on EEG Data

eda-using-pandasprofiling-and-streamlit

It is an Exploratory Data Analysis Application where user can upload CSV file and get the EDA done in few seconds. It leverages Python's PandasProfiling and Stream.lit libraries

eit_dashboard

Dashboard for real-time Electrical Impedance Tomography including image reconstruction using back projection, GREIT and Jacobian methods.