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18.06 course at MIT
Cut a tetrahedral mesh with a triangle mesh in 3D.
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
3D Heritage Online Presenter
Notes I've taken for MIT's 6.041 (Probabilistic Systems Analysis & Applied Probability), plus course bible material.
There can be more than Notion and Miro. AFFiNE(pronounced [ษโfain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
๐งโ๐ซ 50! Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions (SIGGRAPH 2022 - Journal Track)
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
The development repo for the Primer on Bรฉzier curves, https://pomax.github.io/bezierinfo
A projection-based bijective map definition and a robust algorithm to construct the prismatic shell domain. https://cs.nyu.edu/~zhongshi/files/BijectivePrism.pdf
Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics
the code of paper "Boundary-Sampled Halfspaces: A New Representation for Constructive Solid Modeling" (SIGGRAPH 2021)
Efficient Learning on Point Clouds with Basis Point Sets
A Pytorch implementation of the bps code using chamfer distance on GPU
Discrete Conformal Equivalence of Polyhedral Surfaces
A generative model for programmable protein design
Continuous Remeshing For Inverse Rendering
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Mesh compression library, designed for rendering and speed.
This repository contains the source codes for the paper "Robust optimization for topological surface reconstruction"
Computer Vision: From 3D Reconstruction to Recognition
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models"
Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.