wupuqu's repositories
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
bert
TensorFlow code and pre-trained models for BERT
Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
blinear-cnn-faster
A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition
chinese-poetry
The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。
Chinese-Text-Classification-Pytorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
cogdl
CogDL: An Extensive Research Toolkit for Graphs
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
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18个章节，50余万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
drawio
Source to app.diagrams.net
drawio-desktop
Official electron build of diagrams.net
face_recognition
The world's simplest facial recognition api for Python and the command line
flask_web
基于flask将一个评论分类模型嵌入到web系统中
ner
命名实体识别实践与探索
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch-Image-Models-Multi-Label-Classification
Multi-label classification based on timm.
stable-diffusion
A latent text-to-image diffusion model
stopwords-iso
All languages stopwords collection
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
timm
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.