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Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
A resource repository for 3D machine learning
Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV2021).
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022
Diffusion Models in Medical Imaging
A curated list of awesome Self-Supervised methods
A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
Simulation of spiking neural networks (SNNs) using PyTorch.
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
Brian is a free, open source simulator for spiking neural networks.
Model fitting toolbox for the Brian 2 simulator
cascade-stereo
Official implement of "CAT: Cross Attention in Vision Transformer".
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Dual Attention Network for Scene Segmentation (CVPR2019)
This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
[CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
An Emacs configuration bundle with batteries included
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
A neuroscience python package for the estimation and evaluation of neural models from patch clamp neural recordings, including a library of spike distance metrics..
Neuron simulation and fitting code
A simple example of a genetic algorithm for fitting model neurons to experimental data
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.