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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

analysis

Some function for basic statistical analysis with python

apache-nifi-custom-processor

This is A NiFi processor Created to Stream the contents of a FlowFile to Ignite Cache.

azuredeployment

bike-sharing-case-study

blog

Collection of the codes which are used on our blog at https://www.statworx.com/de/blog/

car_detection_yolo_faster_rcnn_uvsc2019

This repo contains all the source code and dataset used in the paper Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

cvlib

A high level, easy to use, open source Computer Vision library for Python.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

datascience-test

deep-learning-notebooks

detect-facial-features

Using dlib, OpenCV, and Python, to detect in real time how to open/closed eyes,mouth, position of the head, and the emotion

dsnd-project-4

Write a Data Science Blog Post - Predict Airbnb listing availability using Random Forest

hello-world

This is your first repository

hello-world-2

This is your first repository

json-logger

Drop-in replacement for default Mule Logger that outputs a JSON structure based on a predefined JSON schema

mulesoftproject

my-repository-ga6fz36u2uh

This is your first repository

nifi

Mirror of Apache NiFi

objectdetectionrcnn

occupancy-detection

Occupancy detection of an office room based on sensors data.

pandas_exercises

Practice your pandas skills!

pigar

:coffee: A fantastic tool to generate requirements.txt for your Python project, and more than that.

plotly-dashboards-with-dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

rltalk

Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator

seaborn-data

Data repository for seaborn examples

selective_search

Python implementation of selective search

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks