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/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/CarND-Semantic-Segmentation
Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).
wolfapple/algs4
wolfapple/pytorch-cam
PyTorch implementation of class activation mapping
wolfapple/CarND-Capstone
Programming a Real Self-Driving Car.
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-Kidnapped-Vehicle-Project
Implemented a 2 dimensional particle filter in C++ capable of localizing a vehicle within desired accuracy and time.
wolfapple/carnd-lyft-challenge
wolfapple/CarND-MPC-Project
Implemented a Model Predictive Control in C++ to maneuver a vehicle around a track.
wolfapple/CarND-MPC-Quizzes
wolfapple/CarND-Path-Planning-Project
Built a path planner that navigates a vehicle through traffic on a highway. Used the concepts taught in the module - environmental prediction, behavioral planning, and trajectory generation - to build the planner.
wolfapple/CarND-PID-Control-Project
Implemented a PID controller in C++ to maneuver a vehicle around a track.
wolfapple/CarND-Unscented-Kalman-Filter-Project
Implemented an Unscented Kalman Filter algorithm in C++ capable of accurately and performantly tracking a turning object.
wolfapple/dist-prog-book
wolfapple/docker-protoc
Docker images for generating protocol buffer definitions
wolfapple/finatra-seed
wolfapple/Heterogeneous-Attentions-PDP-DRL
wolfapple/lyft-challenge
wolfapple/or-tools
Google's Operations Research tools:
wolfapple/protocol-parsing-in-scala
binary and text protocol
wolfapple/pytorch_challenge
wolfapple/resources
Resources for Go-based data analysis, visualization, machine learning, etc.
wolfapple/ridesharing-GreedyDP
An efficient insertion framework called GreedyDP for shared mobility services.
wolfapple/ridesharing-LMD
Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees
wolfapple/rubyhackchallenge
wolfapple/style-transfer
Style Transfer with Deep Neural Networks
wolfapple/tl_classifier
wolfapple/watermill-kafka
Kafka Pub/Sub for the Watermill project.
wolfapple/wolfapple.github.io
wolfapple/zipkin-finagle
Integration between Finagle tracing to Zipkin transports such as http and kafka