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Hanker's Projects

autoware icon autoware

Open-source software for urban self-driving mobility

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

boxx icon boxx

Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.

capsule_networks icon capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

cuboid_abstraction icon cuboid_abstraction

Code release for "Learning Adaptive Hierarchical Cuboid Abstractions of 3D Shape Collections" (SIGGRAPH Asia 2019)

dancenet icon dancenet

DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

darknet icon darknet

Windows and Linux version of Darknet Yolo v2 & v3 Neural Networks for object detection

deeplearning.ai icon deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

densefusion icon densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

dqn-play-supermario icon dqn-play-supermario

implement the classic reinforcement learning algorithm DQN to play supermariobrother

drl-flappybird icon drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

furniture icon furniture

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

gmps icon gmps

Guided-Meta Policy Search

gps icon gps

Guided Policy Search

gps-1 icon gps-1

Guided policy search in Python and ROS Indigo.

gps-2 icon gps-2

Guided Policy Search implementation based on S Levine paper http://graphics.stanford.edu/projects/gpspaper/gps_full.pdf

guided-attention-inference-network icon guided-attention-inference-network

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

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