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object_detection_kitti

TF Object Detection on Kitti Data

omniglot

Omniglot data set for one-shot learning

onnx

Open standard for machine learning interoperability

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

path-planning

Navigate a SDC around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit.

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

pid-controller

This project is to implement a PID controller in C++ to maneuver the vehicle around the track in a simulator.

portfolioprojects

predix-analytics-sample

A collection of samples for use with Predix Analytics services

predix-cli

A command line utility that simplifies interaction with the Predix Cloud

predix-rmd-ref-app

predix-rmd

predix-tensorflow-example

Demonstration of running Flask, Tensorflow, and PredixPy on Predix.

predix-webapp-starter

A web application starter kit built on Polymer, Web Components, NodeJS and Predix UI Components.

predixpy

(Pre-Release/Alpha) Python SDK and client sample code for working with Predix Industrial IoT Services

pretrained-show-and-tell-model

This repository contains pretrained Show and Tell: A Neural Image Caption Generator implemented in Tensorflow.

price-of-chair

Pricing service which allows for setting up alerts for prices in online stores and then receive e-mails when prices go under a certain price.

pykitti

Python tools for working with KITTI data.

python

All Algorithms implemented in Python

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-tutorials

Tutorials of data science concepts and packages in Python

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

quantizedneuralnetworks-keras-tensorflow

Quantized Neural Networks - networks trained for inference at arbitrary low precision.

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

realtime-driving-street-object-detection

Detect pedestrians, cars, trucks, traffic lights, cyclists, stop signs, and fire hydrants from real-time front camera while driving.

rectlabel-support

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.