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Name: originofamonia
Type: User
Name: originofamonia
Type: User
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)
Code for the paper "Improving Robustness of Machine Translation with Synthetic Noise"
Terminal-based CPU stress and monitoring utility
Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.
Official PyTorch implementation of SegFormer
This is a warehouse for SegFormer-pytorch-model, can be used to train your image datasets for segmentation tasks.
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
A file transfer python socket demo with GUI
Scripts to manipulate data sources for the upcoming shared task on clinical negation detection and time expression parsing
Apache Spark training material
Official implementation of "Minimizing Supervision for Free-space Segmentation" paper
[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network
TensorClus, Tensor co-clustering, text mining, clustering, multiple graphs
Adversarial Discriminative Domain Adaptation for Text Dataset with BERT
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
Transformer seq2seq model, program that can build a language translator from parallel corpus
A playbook for systematically maximizing the performance of deep learning models.
Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Visual Question Answering in Pytorch
Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"
Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples
Weakly Supervised Medical Images Segmentation
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
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.