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Type: Organization
Type: Organization
ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]
An optimizer that trains as fast as Adam and as good as SGD.
Adaptive and Momental Bounds for Adaptive Learning Rate Methods.
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Unofficial implementation of Adan optimizer in Tensorflow
[T-IP 2023] Code for exponential adaptive pooling for PyTorch
[ECCV2024] Adaptive Parametric Activation
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Google Brain AutoML
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
A curated list of neural network pruning resources.
The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening
Causal depthwise conv1d in CUDA, with a PyTorch interface
Code repository of the paper "Towards a General Purpose CNN for Long Range Dependencies in N-D" https://arxiv.org/abs/2206.03398.
Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/2102.02611
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation (CVPR 2022)
Code release for ConvNeXt model
Code release for ConvNeXt V2 model
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
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.