Block or Report
Block or report yuanxiaosc
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned
-
DeepImage-an-Image-to-Image-technology
DeepImage-an-Image-to-Image-technology PublicDeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implement…
-
Machine-Learning-Book
Machine-Learning-Book Public《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!
-
BERT_Paper_Chinese_Translation
BERT_Paper_Chinese_Translation PublicBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!
-
Entity-Relation-Extraction
Entity-Relation-Extraction PublicEntity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
-
BERT-for-Sequence-Labeling-and-Text-Classification
BERT-for-Sequence-Labeling-and-Text-Classification Public templateThis is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity id…
-
Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy
Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy PublicThis resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基…
If the problem persists, check the GitHub status page or contact support.