haisenzhao

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

solvespace

Parametric 2d/3d CAD

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

structurenet

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

gluon-cv

Gluon CV Toolkit

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

unet

unet for image segmentation

Visual_Driven_Mesh_Repair

Repairing Man-Made Meshes via Visual Driven Global Optimization with Minimum Intrusion

xgboostExtension

xgboost Extension for Easy Ranking & TreeFeature

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

data_mining_models

Basic data mining model, including feature importance display

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

dl4g

Example code for the Siggraph Asia Tutorial CreativeAI

deap

Distributed Evolutionary Algorithms in Python

OptCuts

OptCuts, a new parameterization algorithm, jointly optimizes arbitrary embeddings for seam quality and distortion. OptCuts requires no parameter tuning; automatically generating mappings that minimize seam-lengths while satisfying user-requested distortion bounds.

FreeCAD

googletest

GoogleTest - Google Testing and Mocking Framework

LOCOInterpolate

[SIGGRAPH 2017] Interactive Design Space Exploration and Optimization for CAD Models

GRAINS

GRAINS: Generative Recursive Autoencoders for INdoor Scenes

DiDA

Disentangled Synthesis for Domain Adaptation

DifNet

graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

geometry-central

Applied 3D geometry in C++, with a focus on surface meshes.

polyscope

A C++ & Python viewer for 3D data like meshes and point clouds

knityak

knityak code for generating art for knit scarves

taichi_mpm

High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)

SpecCoarsen_MATLAB

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

keras

Deep Learning for humans

Pepper-s-Cone-for-Web

Pepper's Cone for Web _V1 Intro to Computitional Media Final Project By: Chunhan Chen Date: 2018-12-09 Adapted from: Original Pepper’s Cone project by Xuan Luo: http://roxanneluo.github.io/PeppersCone.html Copyright 2018 University of Washington @inproceedings{luo2017pepper, title={Pepper's Cone: An Inexpensive Do-It-Yourself 3D Display}, author={Luo, Xuan and Lawrence, Jason and Seitz, Steven M}, booktitle={Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology}, pages={623--633}, year={2017}, organization={ACM} } Note: This project has to be run on a localhost due to CORS issues.