Pinned Repositories
algs4
banano
Transparent nano-service prototype in Go
CarND-Advanced-Lane-Lines
Built an advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding. Identified lane curvature and vehicle displacement. Overcame environmental challenges such as shadows and pavement changes.
CarND-Behavioral-Cloning-Project
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
CarND-Semantic-Segmentation
Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).
CarND-Vehicle-Detection
Detect and track vehicles using color and gradient features and a support vector machine classifier.
pytorch-cam
PyTorch implementation of class activation mapping
resty_atp
traffic-sign-recognition
Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.
wolfapple's Repositories
wolfapple/CarND-Behavioral-Cloning-Project
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
wolfapple/resty_atp
wolfapple/CarND-Traffic-Sign-Classifier-Project
Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.
wolfapple/CarND-Vehicle-Detection
Detect and track vehicles using color and gradient features and a support vector machine classifier.
wolfapple/banano
Transparent nano-service prototype in Go
wolfapple/CarND-Advanced-Lane-Lines
Built an advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding. Identified lane curvature and vehicle displacement. Overcame environmental challenges such as shadows and pavement changes.
wolfapple/CarND-Extended-Kalman-Filter-Project
Implemented an Extended Kalman Filter algorithm in C++ capable of tracking a pedestrian's motion in two dimensions.
wolfapple/CarND-LaneLines-P1
Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
wolfapple/CarND-TensorFlow-Lab
wolfapple/CarND-Unscented-Kalman-Filter-Project
Implemented an Unscented Kalman Filter algorithm in C++ capable of accurately and performantly tracking a turning object.
wolfapple/colossus
I/O and Microservice library for Scala
wolfapple/finagle
A fault tolerant, protocol-agnostic RPC system
wolfapple/finagle-redis-sample
This is a Finagle client hello world using Redis
wolfapple/finatra
Fast, testable, Scala services built on Twitter-Server and Finagle
wolfapple/flockdb
A distributed, fault-tolerant graph database
wolfapple/fpinscala
wolfapple/hugo-blog
wolfapple/net-http-persistent
Thread-safe persistent connections with Net::HTTP
wolfapple/reactivemanifesto
The Reactive Manifesto
wolfapple/reconstructing-ruby
wolfapple/slate
wolfapple/traffic-sign-classification-with-keras