fagan2888 Goto Github PK

rnn-robinhood

Automated trading on Robinhood via RNN

rnn_lstm

Matlab Mex implementation

rnn_predictions

Building RNNs that generate sequences based on input data applied to time-series and text generation

rnumpy

An experiment in trying to define a core and cleaned-up NumPy API: RNumPy

roadway_routing

rob535-perception-project

Image classification task for self driving cars perception.

robberies-data-project-2016

robinhood

Python Framework to make trades with Robinhood Private API

robinhood-attention

Predicting Robinhood stocks using attention

robinhood-git-hook

Incentivize frequent commits by displaying Robinhood positions and portfolio value after every commit.

robinhood-python

Robinhood module in Python

robinttracker

Details on Power BI workflow I built to track Robinhood user growth insights using data from Robintrack.net

robo_dialling

roboadvisor

robocoach

Running recommender system

robond-rover-project

Project repository for the Unity rover search and sample return project.

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

robot_learning

ROS package for robot learning

robotcar-dataset-sdk

Software Development Kit for the Oxford Robotcar Dataset

roboticcashier

Implementation of Anki Vector as a chair which can detect items that are being bought and process payments for a final bill.

robotics-toolbox-python

Robotics Toolbox for Python

robotnavigation

MATLAB implementation of two popular navigation algorithms: A-star and Real-Time Randomized Path Planning

robupy

Python package for robust optimization

robust-clustering-with-subpopulation-specific-deviations

Robust Clustering With Subpopulation-Specific Deviations, by Briana J. K. Stephenson, Amy H. Herring, Andrew Olshan

robust-log-optimal-strategy-with-reinforcement-learning

We propose a new Portfolio Management strategy combining Log-Optimal based Strategy and Reinforcement-Learning based Strategy.

robust-nonlinear-regression

Robust nonlinear regression using Wiener model and sparsity-induced optimization

robustaloha

Sparse + Low-Rank Hankel Matrix Decomposition for Impulse Noise Removal

robustdarts

Understanding and Robustifying DARTS

robustlearningexperiments

Untitled experiments for the untitled robust learning paper

robustpca

Robust PCA