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erfnet_segmentation
My own Implementation of the ERFNet Semantic Segmentation architecture in Tensorflow, trained on the CamvidDatasetreal_time_multi_digit_recognition
A desktop application running a deep learning model that recognizes and localizes multi-digit house numbers in real time (without GPU).convenience_py
A collection of functions I have written for common tasks I perform in Python. Put together into one repository purely for convenience.kitti_semantic_segmentation
A semantic Segmentation model used to identify road surfaces for self-driving car applications. Implemented in Tensorflow and trained on the Kitti Road Dataset.sisi_dataset
Code for generating the Simple Segmentation Image Dataset.point_clouds
Convenience functions for processing point cloud datatensorflow_tut
Some old tutorial snippets i created for teaching the basics of tensorflow.segmentation_tut_code
The full code for the tutorial I created to teach students about semantic segmentation.rlnd_p3
Solution to Project 3 of the Deep Reinforcement Learning Nanodegreepyrpy
A wrapper for scipy, numpy, pandas, etc that lets you use the naming convention for R functions.rlnd_p2
Solution to Project 2 for the Udacity Deep Reinforcement Learning Nanodegreehackerearth_challenge
My code for the Hacker Earth Deep Learning Challenge. Ranked #26 out of ~4,500 participants (and out of the 305 that were able to make a submission before the deadline)deep_ready
Shell scripts for automatically setting up deep learning frameworks (including dependencies and virtual-environments) on a new computercheatsheets
reviews_app
deepQ_bananas
graphotti
A library for creating plots that can easily be combined and rendered on different plotting librariessklearn_parameter_values
smartcab
Reinforcement learning project to train an car agent in a grid world to ferry passengers to their destinationconvenience_functions_R
Convenience functions for common tasks in Rus_health_data_app
An R-Shiny web application that visualizes several health metrics of the US population over time.Love Open Source and this site? Check out how you can help us