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GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems
Google Research
为ChatGPT/GLM提供实用化交互界面,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
code for paper "Graph Structure of Neural Networks"
Code to generate the 3D city model of Singapore public housing (HDB) buildings from open data
Fit stochastic IF model with spike-triggered current eta and moving threshold gamma as described in: "Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms"
A 🤗-style implementation of BERT using lambda layers instead of self-attention
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
LSUN Dataset Documentation and Demo Code
Medical Imaging Using Self-Supervised Learning
Matchable Image Retrieval by Learning from Surface Reconstruction
MVSNet (ECCV2018) & R-MVSNet (CVPR2019)
NEUROFIT is a program that fits Hodgkin-Huxley models to voltage-clamp data.
Accurate and robust fitting for electrophysiological recordings of single neurons to Hodgkin-Huxley nonlinear models
A collection of losses not part of pytorch standard library particularly useful for segmentation task
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
Pyorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)
An interactive 3D visualization of the all the buildings in Manhattan.
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
Code for PCN: Point Completion Network in 3DV'18 (Oral)
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation
A set of tools for fitting single- or multi-compartment neuron models parameters, using NSGA2 or Krayzman's dynamically weighted multi-objective optimization
(ICCV'21) Official PyTorch implementation of Relational Embedding for Few-Shot Classification
Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.