howyoungchen

howyoungchen

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nlp-beginner-finish

此项目完成了关于 NLP-Beginner:自然语言处理入门练习 的所有任务,所有代码都经过测试,可以正常运行。

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FEAT

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

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BERT-NER-Pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

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IDeMe-Net

A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).

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CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

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Practice-of-Machine-Learning

code of scattered practices when studying "machine-learning".

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few-shot

Repository for few-shot learning machine learning projects

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MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

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a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

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Semantic-Feature-Augmentation-in-Few-shot-Learning

Semantic Feature Augmentation in Few-shot Learning

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trainHOG

Example program showing how to train your custom HOG detector using openCV

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low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

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