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gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-3

GPT-3: Language Models are Few-Shot Learners

gpt2

An implementation of training for GPT2, supports TPUs

gpt2-chinese

Chinese version of GPT2 training code, using BERT tokenizer.

hardseed

SEX IS ZERO (0), so, who wanna be the ONE (1), aha?

homeland

提交了几次，总算弄好了，还需要加一个中间件在写入数据库时候做过滤，以及重新处理tags和健壮代码。之前已经做了redis的url过滤，可以考虑做一个布隆过滤，加上代码中间件也不错

how_to_make_a_text_summarizer

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

huobi-chain

The next generation high performance public chain for financial infrastructure.

insuranceqa-corpus-zh

OpenData in insurance area for Machine Learning Tasks

ipdb-php

IPIP.net officially supported IP database ipdb format parsing library

kashgari

Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

keras-gan

Keras implementations of Generative Adversarial Networks.

knowledgegraphdata

史上最大规模1.4亿中文知识图谱开源下载

laravel-admin

Build a full-featured administrative interface in ten minutes

leonsans

Leon Sans is a geometric sans-serif typeface made with code in 2019 by Jongmin Kim.

lrcwe

基于知识库信息的词向量模型

lx-music-desktop

一个基于 electron 的音乐软件

lycheeos

a tiny x86 os kernel

megatron-lm

Ongoing research training transformer language models at scale, including: BERT

micro8

models

Models and examples built with TensorFlow

multinli

munit

Multimodal Unsupervised Image-to-Image Translation

navicat-keygen

A keygen for Navicat

navicat_keygen

A keygen for Navicat

ncrfpp

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

neural-headline-generator-cn

从门户网站爬取新闻的摘要-标题对使用seq2seq根据摘要生成标题

ngram2vec

Four word embedding models implemented in Python. Supporting arbitrary context features

nlp