sjtuchenye's repositories
mnist_tutorial
A tutorial for mnist hand writen digit classification using sklearn, pytorch and keras.
TexturePaint
Painting directly in mesh textures in Unity 3d with shaders
2048-api
A 2048 api for training supervised learning (imitation learning) or reinforcement learning agents
ACA2021-Example
An Example for Academic Writing, Norms, and Ethics
awesome-NeRF
A curated list of awesome neural radiance fields papers
awesome-point-cloud-analysis-2022
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
df
Larger resolution face masked, weirdly warped, deepfake,
DualSPHysics
C++/CUDA/OpenMP based Smoothed Particle Hydrodynamics (SPH) Solver
Faceswap-Deepfake-Pytorch
Faceswap with Pytorch or DeepFake with Pytorch
faceswap_pytorch
Deep fake ready to train on any 2 pair dataset with higher resolution
FoldingNet
This is the implementation for FoldingNet——an autoencoder for point cloud in PyTorch.
Knewledge-graphs-link-prediction
Knowledge graph is essentially a semantic network. It is a graph-based data structure composed of nodes and edges. In the Knowledge graph, each node represents the "entity" that exists in the real world, and each edge is the "relationship" between the entity and the entity. Knowledge graphs are the most effective representation of relationships. In layman's terms, Knowledge graph is a network of relations that connect all different kinds of information together.
opengl-raytracing
An experimental raytracer using OpenGL for GPU acceleration
partnet_dataset
PartNet Dataset Official Release Repo
pointnerf
Point-NeRF: Point-based Neural Radiance Fields
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Procedural-painting
Procedural painting algorithms in Unity 3d with compute shaders based on genetic evolution algorithms
sjtuchenye.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
smith-chart
Simple Smith chart application serving as a paper.js demo
SPH-Tutorial
Dan Koschier, Jan Bender, Barbara Solenthaler, Matthias Teschner, "Smoothed Particle Hydrodynamics for Physically-Based Simulation of Fluids and Solids", Eurographics Tutorial, 2019
taichi_course_homework
Taichi Course Homework Template