Dong W (Kelvinson)

Kelvinson

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Dong W's repositories

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

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algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

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awesome-panoptic-segmentation

Panoptic Segmentation Paper List.

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awesome-scalability

The Patterns Behind Scalable, Reliable, and Performant Large-Scale Systems

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build-web-application-with-golang

A golang ebook intro how to build a web with golang

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CalibratedModelBasedRL

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

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CMUComputationalPhotography

Jupyter Notebooks for CMU Computational Photography Course 15.463

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CppRobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

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cvat

Powerful and efficient Computer Vision Annotion Tool (CVAT)

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cvpr2019

cvpr2019 papers,极市团队整理

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E2E-ASR

PyTorch Implementations for End-to-End Automatic Speech Recognition

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gym-gazebo2

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

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MarioO_O-flow-curioisty

Playing SuperMario via flow-based curiosity exploration & RL agent.

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openvslam

OpenVSLAM: a Versatile Visual SLAM Framework

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PASSRnet

Repository for "Learning Parallax Attention for Stereo Image Super-Resolution", CVPR 2019

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pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

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pytorch-mac-network

Pytorch implementation of the MAC-Network

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RenderNet

Code for RenderNet: A deep convolutional network for differentiable rendering from 3D shapes

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semantic_slam

Real time semantic slam in ROS with a hand held RGB-D camera

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slambench2

SLAM performance evaluation framework

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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tensor2robot

Distributed machine learning infrastructure for large-scale robotics research

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tensorflow2-generative-models

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

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torchgpipe

A GPipe implementation in PyTorch

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vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

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