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Jaeyoon Jeong's Projects

jsketcher icon jsketcher

Parametric 2D and 3D modeler written in pure javascript

kdtree icon kdtree

Fast KDTree for Unity, with thread-safe querying.

maker.js icon maker.js

📐⚙ 2D vector line drawing and shape modeling for CNC and laser cutters.

mesh-cutter icon mesh-cutter

Simple mesh cutting algorithm that works on simple 3d manifold objects with genus 0

mesh_reconstruction icon mesh_reconstruction

Code of single-image 3D reconstruction "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.

neural_renderer icon neural_renderer

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

pb_stl icon pb_stl

STL import/export for Unity, supporting both ASCII and Binary.

pex-context icon pex-context

Modern WebGL state wrapper for PEX: allocate GPU resources (textures, buffers), setup state pipelines and passes, and combine them into commands.

pex-gen icon pex-gen

Primitive and advanced mesh generators for the pex library

pix2vox icon pix2vox

Implementation of Pix2Vox (Xie et al., ICCV 2019)

pointcnn icon pointcnn

PyTorch implementation of PointCNN model specified in the white paper located here: https://arxiv.org/pdf/1801.07791.pdf

ppo-dash icon ppo-dash

PPO Dash: Improving Generalization in Deep Reinforcement Learning

pptk icon pptk

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

ptan icon ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-a2c-ppo-acktr-gail icon pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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