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gl3d

GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems

google-research

Google Research

gpt_academic

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。

graph2nn

code for paper "Graph Structure of Neural Networks"

hdb3d-code

Code to generate the 3D city model of Singapore public housing (HDB) buildings from open data

if_toolbox

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"

lambda-bert

A 🤗-style implementation of BERT using lambda layers instead of self-attention

learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

levit

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

lsun

LSUN Dataset Documentation and Demo Code

medical-ssl

Medical Imaging Using Self-Supervised Learning

mirror

Matchable Image Retrieval by Learning from Surface Reconstruction

mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

neurofit

NEUROFIT is a program that fits Hodgkin-Huxley models to voltage-clamp data.

neuron-nonlinear-model-predict

Accurate and robust fitting for electrophysiological recordings of single neurons to Hodgkin-Huxley nonlinear models

nn-additional-losses

A collection of losses not part of pytorch standard library particularly useful for segmentation task

nn-common-modules

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

nnunet

non-local-nn-pytorch

Pyorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

nyc-buildings

An interactive 3D visualization of the all the buildings in Manhattan.

one-shot-object-detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

optsnnconvertion-rnl-ril

pcn

Code for PCN: Point Completion Network in 3DV'18 (Oral)

pixel2mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

playing-with-simpleitk

Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.

pointsetgeneration

Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''

positional_cl

code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation

pyneuronautofit

A set of tools for fitting single- or multi-compartment neuron models parameters, using NSGA2 or Krayzman's dynamically weighted multi-objective optimization

renet

(ICCV'21) Official PyTorch implementation of Relational Embedding for Few-Shot Classification

segmenter

Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation