This is your work, valued

Seattle, Washington

Kaichun Mo

Expert
@daerduoCarey

Research Scientist at Seattle Robotics Lab, NVIDIA Research; Previously CS Ph.D. Student at Stanford

partnet_dataset. PartNet Dataset Official Release Repo

420

PyTorchEMD. PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

317

structurenet. StructureNet: Hierarchical Graph Networks for 3D Shape Generation

264

SpatialTransformerLayer. Protocol Buffer

181

where2act. Where2Act: From Pixels to Actions for Articulated 3D Objects

139

partnet_anno_system. PartNet 3D Web-based Shape Parts Annotation System

109

partnet_seg_exps. PartNet Shape Segmentation Experiments Code Repo

76

pt2pc. PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

47

PanoramaImageViewer. Panorama Image Viewer and Cropper

42

o2oafford. O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning (CoRL 2021)

37

AdobeIndoorNav. Repository of data and tools for the AdobeIndoorNav dataset

35

structedit. StructEdit: Learning Structural Shape Variations

34

ogn. CS 468 Final Project: Implement more caffe layers to do OGN-based auto-encoder and GAN experiments

11

Facial-Recognition. Facial Expression Classification

10

simple_nodejs_userstudy. Simple NodeJs Web-based User Study Interface for Researchers

8

psg_pytorch. PointSetGen PyTorch Implementation

7

stanford-cs348n-assignment1-winter22. Python

4

poseidon. Poseidon: Distributed Deep Learning Framework on Petuum

4

caffe. adding Spatial Transformer Layer

3

awesome-deep-vision. A curated list of deep learning resources for computer vision

3

tensorflow-value-iteration-networks. TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

2

stanford-cs348n-assignment3-winter22. Python

2

deep-reinforcement-learning-networks. A list of deep neural network architectures for reinforcement learning tasks.

2

cs228-notes. Course notes for CS228: Probabilistic Graphical Models.

2

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

2

blender_render_view_centric_pts. blender_render_view_centric_pts

2

pix2vox. Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

2

neural-style. Torch implementation of neural style algorithm

1

recurrent-spatial-transformer-code. Code for Recurrent Spatial Transformer Networks

1

django. The Web framework for perfectionists with deadlines.

1

docker. Docker - the open-source application container engine

1

generative-models. Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

1

mitsuba-shapenet. Mitsuba for ShapeNet

1

tutorials. A series of machine learning tutorials for Torch7

1

deep_learning_glossary. Simple, opinionated explanations of various things encountered in Deep Learning

1

voxnet. 3D/Volumetric Convolutional Neural Networks with Theano+Lasagne

1

pcl. Point Cloud Library (PCL)

1

seaborn. Statistical data visualization using matplotlib

1

three.js. JavaScript 3D library.

1

impress.js. It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

1

gpgpu-sim. Computer System(1)'s final project, to modify gpgpu-sim's register file's latency

1