junailin's repositories

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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BiBloSA

Bi-Directional Block Self-Attention

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decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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DiSAN

Code of Directional Self-Attention Network (DiSAN)

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fastai

The fast.ai deep learning library, lessons, and tutorials

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finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

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flair

A very simple framework for state-of-the-art NLP

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Interview-Notebook

:calendar: 准备秋招学习笔记

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NCRFpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (ACL 2018 demo paper)

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NER

基于tensorflow深度学习的中文的命名实体识别

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New-Word-Discovery

新词发现 基于词频、凝聚系数和左右邻接信息熵

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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SWEM

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

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tensor2tensor

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

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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text-CapsNet

Raw TF implementation of capsule networks on basic text datasets

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text_classification

all kinds of text classificaiton models and more with deep learning

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torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

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VDCNN

Tensorflow and Keras Implementation of Very Deep Convolutional Neural Network for Text Classification

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wiki2bio

Code for AAAI2018 paper "Table-to-text Generation by Structure-aware Seq2seq Learning"

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