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aispace

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

aispider

allennlp

An open-source NLP research library, built on PyTorch.

bentoml

Model Serving made easy

brat

brat rapid annotation tool (brat) - for all your textual annotation needs

cloud_pem

存放云pem

datasets

A collection of datasets ready to use with TensorFlow

deeplearningbook-chinese

Deep Learning Book Chinese Translation

docproduct

Medical Q&A with Deep Language Models

faceswap-deepfake-pytorch

Faceswap with Pytorch or DeepFake with Pytorch

github.com

hacker

Hacker is a Jekyll theme for GitHub Pages

kashgari

Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT and word2vec embedding.

lingvo

Lingvo

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machine-learning-notes

A repository to save my machine learning notes.

merlot

Merlot is a Jekyll theme for GitHub Pages

model_dev_template

mongodb-examples

ner-evaluation

An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity

nstools

Some meaningless nscripter tools.

oraclerevive

通过ai算法对甲骨文的释读进行尝试

panningspace

Extract informative knowledge from text like panning.

pythia

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_highway

Highway network implemented in pytorch

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

Computation using data flow graphs for scalable machine learning

transformers

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

very-deep-convolutional-networks-for-natural-language-processing

Very Deep Convolutional Networks for Natural Language Processing in Tensorflow