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100daysml

aihcnd_c2_starter

capsnet

capsnet_tf

carnd-advanced-lane-lines

use a software pipeline to identify the lane boundaries in a video

carnd-behavioral-cloning-p3

using deep neural networks and convolutional neural networks to clone driving behavior

carnd-capstone-team

This is the project repo for the final project of the Udacity Self-Driving Car Nanodegree: Programming a Real Self-Driving Car.

carnd-extended-kalman-filter-project

implement a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements

carnd-kidnapped-vehicle

this project implement a 2 dimensional particle filter in C++.

carnd-mpc-project

implement a Model Predictive Control algorithm to drive a vehicle in simulator

carnd-path-planning

Create a path planner that is able to create smooth, safe paths for the car to follow

carnd-pid-control

carnd-traffic-sign-classifier-project

Build a Traffic Sign Recognition Program

carnd-unscented-kalman-filter

utilize an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements

carnd-vehicle-detection

use a software pipeline to detect vehicles in a video

carnd_lane_detection

Finding Lane Lines on the Road

cups-rl

Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup madafakaaa"

deep-learning

Collections of deep learning projects for DLND course at Udacity

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

fcnd-backyard-flyer

fcnd-controls

fcnd-controls-cpp

fcnd-estimation-cpp

fcnd-motion-planning

gcp_test_ai2thor

This project is going to test AI2-THOR running speed in a Compute Engine on Google Clound Platform. The configured Compute Engine has 16x vCores and 2x Nvidia K80 GPUs.

habitat-api

clone of facebook habitat-api project. A RL environment to enable embodded Learning with multiple sensor data

move37

Assignments of course move 37 at theschool.ai

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

practical_rl

A course in reinforcement learning in the wild

semantic-segmentation

label the pixels of a road in images using a Fully Convolutional Network (FCN)