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Name: IronMan
Type: User
Bio: I am Iron Man.
Name: IronMan
Type: User
Bio: I am Iron Man.
A python package for visualization and storage management in a pytorch AI task.
(WIP) TorchUtils is a pytorch library with several useful tools and training tricks.
ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.
This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
Pytorch implementation of TRP
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
The collection of training tricks of binarized neural networks.
TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!
Transfer-Learning-Library
Everything about Transfer Learning and Domain Adaptation--迁移学习
Official Pytorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Vanilla Transformer, ViT, DeiT, BERT
A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.
[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
Triplet Loss for Knowledge Distillation
Teacher-Student Curriculum Learning code
**科学院大学研一课程课件共享项目University of Chinese Academy of Sciences postgraduate course textbook sharing project
Unsupervised Data Augmentation (UDA)
High-quality implementations of standard and SOTA methods on a variety of tasks.
Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.
Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
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.