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Generating abstract art through neural networks in PyTorch
A pytorch realization of adafactor (https://arxiv.org/pdf/1804.04235.pdf )
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
Implementation and experiment for AdamW on pytorch
Implements https://arxiv.org/abs/1711.05101 AdamW optimizer and cosine learning rate scheduler for PyTorch framework
将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
Anomaly detection related books, papers, videos, and toolboxes
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Implementing Attention Augmented Convolutional Networks using Pytorch
[wip] Implementation of found architecture in Auto Deeplab
This is an automated machine learning (AutoML) package.
AutoDeeplab / auto-deeplab / Hierarchical Neural Architecture Search / AutoML for semantic segmentation, implemented in Pytorch
A curated list of awesome anomaly detection resources
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Awesome Knowledge Distillation
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Visual Q&A reading list
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
The author's officially unofficial PyTorch BigGAN implementation.
BiSeNet in pytorch
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
An implementation of Cascade R-CNN: Delving into High Quality Object Detection.
CBAM implementation on Keras
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]
一个可以自己进行训练的聊天机器人, 可以根据自己的语料,训练出自己想要的对话机器人
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.