Sol Wu's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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
big-list-of-naughty-strings
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
text_classification
all kinds of text classification models and more with deep learning
ChineseNLPCorpus
中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。
List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
List of Dirty, Naughty, Obscene, and Otherwise Bad Words
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
SparrowRecSys
A Deep Learning Recommender System
emoji-regex
A regular expression to match all Emoji-only symbols as per the Unicode Standard.
FakeNewsNet
This is a dataset for fake news detection research
cnn-text-classification-pytorch
CNNs for Sentence Classification in PyTorch
hate-speech-and-offensive-language
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
keras-quora-question-pairs
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
indic-trans
The project aims on adding a state-of-the-art transliteration module for cross transliterations among all Indian languages including English.
RNN-TrajModel
The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
Efficient-SSL
Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
Character-Level-Language-Modeling-with-Deeper-Self-Attention-pytorch
Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch