Licolas
Follow
Stars
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Revive unavailable songs for Netease Cloud Music
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Subdivision-based Mesh Convolutional Networks.
Neirth / FreeNOS
Forked from nieklinnenbank/FreeNOSFree Niek's Operating System (FreeNOS)
一款可运行的基于C++ 实现的WebServer服务器，基于《TCPIP网络编程》和《Linux高性能服务器编程》实现的服务器项目。
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PyTorch Tutorial for Deep Learning Researchers
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Convolutional Neural Network for 3D meshes in PyTorch