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3d-lmnet

Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]

3d-machine-learning

A resource repository for 3D machine learning

3d_generation

aa-rmvsnet

Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV2021).

ai-news

Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)

ann2snn_srp

ann2snnconversion_snm_neuronnorm

Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022

awesome-diffusion-models-in-medical-imaging

Diffusion Models in Medical Imaging

awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

awesome-spiking-neural-networks

A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.

awesome-weak-shot-learning

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

blendedmvs

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

brian2

Brian is a free, open source simulator for spiking neural networks.

brian2modelfitting

Model fitting toolbox for the Brian 2 simulator

cascade-stereo

cascade-stereo

cat

Official implement of "CAT: Cross Attention in Vision Transformer".

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

cmt_cnn-meet-vision-transformer

A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.

cosnet

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

direct-training-snn

This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch

domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

dsr

[CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

emacs.d

An Emacs configuration bundle with batteries included

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

few-shot-segmentation

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

fit_neuron

A neuroscience python package for the estimation and evaluation of neural models from patch clamp neural recordings, including a library of spike distance metrics..

fitneuron

Neuron simulation and fitting code

genetic_algorithm

A simple example of a genetic algorithm for fitting model neurons to experimental data