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keruhua's Projects

autosparql icon autosparql

Warning: Not working at the moment. Maintainer on parental leave. AutoSPARQL allows to create SPARQL queries over RDF knowledge bases from natural language with low effort.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

axcell icon axcell

Tools for extracting tables and texts from papers

chatbot-training-corpus icon chatbot-training-corpus

总结了一些可以用作聊天机器人训练实作的文字语聊，包含中英文不同语言

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

d2l-pytorch icon d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

decanlp icon decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning-nlp icon deep-learning-nlp

:satellite: Organized Resources for Deep Learning in Natural Language Processing

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearn icon deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeprl-agents icon deeprl-agents

A set of implementations of Deep Reinforcement Learning Agents using Tensorflow.

dialog_corpus icon dialog_corpus

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

dl-docker icon dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

docker icon docker

Docker - the open-source application container engine

dynet icon dynet

DyNet: The Dynamic Neural Network Toolkit

finch icon finch

Lots of My (Machine Learning) Implementations based on TensorFlow / PyTorch (Keep Updating)

generative-models icon generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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