ronrest/sklearn_parameter_values

Stars
1
Language
HTML
Created almost 9 years ago
Updated almost 9 years ago

ronrest/sklearn_parameter_values

ronrest

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

erfnet_segmentation

My own Implementation of the ERFNet Semantic Segmentation architecture in Tensorflow, trained on the CamvidDataset

real_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 data

tensorflow_tut

Some old tutorial snippets i created for teaching the basics of tensorflow.

Jupyter Notebook

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 Nanodegree

pyrpy

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 Nanodegree

hackerearth_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)

Jupyter Notebook

deep_ready

Shell scripts for automatically setting up deep learning frameworks (including dependencies and virtual-environments) on a new computer

cheatsheets

reviews_app

deepQ_bananas

graphotti

A library for creating plots that can easily be combined and rendered on different plotting libraries

smartcab

Reinforcement learning project to train an car agent in a grid world to ferry passengers to their destination

convenience_functions_R

Convenience functions for common tasks in R

us_health_data_app

An R-Shiny web application that visualizes several health metrics of the US population over time.

udacity_mlnd_projects

Jupyter Notebook