ziliwang's repositories

GoogleFreeTrans

free google translation api(免费google翻译api)

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gpt_tokenizer

cpp roberta tokenzier for deploy using

WordEmbedding

Bilingual Word Embedding CCA model

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BioNLP

BioNLP: mutation, Gene, disease Entity Recognition, and their relation extraction

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Emotional-Analysis-of-Internet-News

Emotional Analysis of Internet News hyper-parameter tuning framework,CCF大数据与计算智能大赛互联网新闻情感分析训练框架,附调参日志

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AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

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awesome-awesomeness

A curated list of awesome awesomeness

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cn-text-normalizer

A python module that convert chinese written string to read string. 一个python包:将中文书面字符串转换为口语字符串。

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cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

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e2e-coref

End-to-end Neural Coreference Resolution

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machine-learning

:earth_americas: machine learning algorithms tutorials (mainly in Python3)

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MyNotebook

filed on AI, ML, NLP, DL, program skill and program language.

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nfnets-keras

Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping

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notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

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open-source-machine-learning-degree

Learn machine learning for free, because free is better than not-free.

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polyglot

Multilingual text (NLP) processing toolkit

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pycrumbs

Bits and bytes of Python from the Internet

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rocm_pytorch_informations

The official page of ROCm/PyTorch will contain information that is always confusing. On this page we will endeavor to describe accurate information based on the knowledge gained by GPUEater infrastructure development.

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sumy

Module for automatic summarization of text documents and HTML pages.

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Swin-Transformer-Tensorflow

Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

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text

Data loaders and abstractions for text and NLP

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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