braddengross's repositories
amazon-kinesis-analytics-beam-taxi-consumer
Sample Apache Beam pipeline that can be deployed to Kinesis Data Analytics for Java Applications. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to Amazon CloudWatch for visualization.
amazon-kinesis-replay
A Java application that replays events that are stored in objects in Amazon S3 into a Amazon Kinesis stream as if they occurred in real time.
amazon-sagemaker-developer-guide
The open source version of the Amazon SageMaker docs
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aws-sns-samples
Amazon SNS (Simple Notification Service) - Code Samples
bert
TensorFlow code and pre-trained models for BERT
blight-stat
All the scripts needed to put together BlightSTAT
deepdetect
Deep Learning API and Server in C++11 with Python bindings and support for Caffe and XGBoost
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
flappybird-qlearning-bot
Flappy Bird Bot using Reinforcement Learning
hadoop-book
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
learning-spark
Example code from Learning Spark book
machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
spark-nlp
State of the Art Natural Language Processing
SparkR-pkg
R frontend for Spark
teachable-machine
Explore how machine learning works, live in the browser. No coding required.
TensorBox
Object detection and segmentation in TensorFlow
tensorflow
Computation using data flow graphs for scalable machine learning
tfAlexNet
this is an implementation of alexnet with tensorflow. Run the train.py for training, and test.py for testing. You only need to config the picture folder path
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker