junyu-liu-nate Goto Github PK

algorithm-correctness-and-efficiency-unnc-comp2048-ace-cw1

Coursework 1 for (COMP2048 UNNC) Algorithm Correctness and Efficiency module

algorithm-correctness-and-efficiency-unnc-comp2048-ace-cw2

Coursework 2 for (COMP2048 UNNC) Algorithm Correctness and Efficiency

as-rigid-as-possible

Implementation of As Rigid As Possible paper in an interactive way, using C++, Qt, and OpenGL framework.

bin-packing-unnc-comp2051-aim-cw

Repository of COMP2051-AIM-coursework

brook-dataset

BROOK Dataset, a multi-modal and facial video dataset for data-driven Human-Vehicle Interaction.

chipyard

An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more

finite-element-method-simulation

FEM simulator written in C++, Qt, and OpenGL framewrok, supporting 3 different orders integrators, collision resolving, adaptive time stepping, and parallelization

floating-point-literals-and-arithmatic-expressions-unnc-comp2049-lac-cw

Coursework for COMP2049 Language and Computation

fpv2023

Lecture notes, exercises, homeworks for Brown CS1951x 2023

generate-panorama-from-video-unnc-comp3065-cv-cw

Coursework repository for COMP3065-CV

gmm_tutorial

This code completes a tutorial about gaussian mixture models (gmm) in python using scikit-learn

image-enhancement-and-segmentation-unnc-comp2047-iip-cw

Coursework for COMP2047 Introduction to Image Processing

interactive-drawing-board-and-image-editor

2D interactive drawing board and image editor. The drawing board supports flexible brush flows (constant, linear, quadratic, smudge, spray, fill, and alpha blending), brush sizes, brush colors. The image editor supports image filtering (3 blurring filters, 2 edge detection), image scaling and roatation, tone mapping, etc.

junyu-liu-nate.github.io

Personal website of Junyu Liu

machine-learning-techniques-unnc-comp3055-ml-cw

Coursework for COMP3055 Machine Learning Module

marllib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

mesh-editing-geometry-processing

Low-level manipulations of triangular meshes by Loop Subdivision, Quadric Error Simplification, Isotropic Remeshing, Bilateral Mesh Denoising.

modelsphog

Synthesized models for PHOG to make the results reproducible by the research community

path-tracer-physics-based-rendering

Physically-based renderer using Monte Carlo sampling of path tracing, which supports 6 BRDFs, soft shadows, indirect illumination, Russian roulette path termination, SDR/HDR tone mapping, attenuate refraction, stratified sampling, depth of field, low discrepancy sampling, BRDF importance sampling, etc.

point-bert

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

point-cloud-classification-with-customized-dataset

Classify 3D point clouds with self-generated dataset. Brown Vision Comuting (BVC) starter project for onboard.

pointnet-plus-autoencoder

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointnet1-pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

polyfem

A polyvalent C++ FEM library

process-scheduling-system-unnc-comp2046-osc-cw

Coursework for (COMP2046 UNNC) Operating System and Concurrency

quantized-gmms

ray-tracer-photorealistic-rendering

Ray Tracer which supports 4 BRDFs, implict/explicit shape rendering, advanced lighting, texture mapping,anti-aliasing, super-sampling, filtering, depth of field, soft shadow, acceleration, parallelization, etc.

realtime-interactive-particle-system-procedural-modeling-opengl

Realtime simulation for nature, which includes particle systems for snow simulation, procedural generation algorithms for terrain, physics-based dynamic systems for snow-terrain interaction, and a dynamic weather system.

realtime-interactive-rasterizor-opengl

Realtime rasterizor with interactive support, including 4 BRDFs, implicit/explicit shape rendering, interactive camera movements, FBO, texture mapping, FXAA, adaptive level of detail, etc.

rl-off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.