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Name: An_idi0t
Type: User
Location: Beijing, China
Name: An_idi0t
Type: User
Location: Beijing, China
:alarm_clock: AI conference deadline countdowns
A curated list of Meta-Learning resources/papers.
keras implement of transformers for humans
CNNs for Sentence Classification in PyTorch
CS 543, Computer Vision Homework
DeepIE: Deep Learning for Information Extraction
A collection of various deep learning architectures, models, and tips
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🐳Docker入门学习笔记
pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
ElegantBook: An Elegant LaTeX Template for Books
pytorch implement for the paper Few-Shot Adversarial Domain Adaptation
A collection of useful .gitignore templates
Chinese version of GPT2 training code, using BERT tokenizer.
Pytorch codes for "Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification"
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
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.