zylxadz's Stars
CoinCheung/pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
OFA-Sys/DAFlow
ZhaoJ9014/Multi-Human-Parsing
🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥
chenfei-wu/TaskMatrix
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
liucongg/NLPDataSet
记录本人整理的一些数据集
LeeSureman/Flat-Lattice-Transformer
code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
lonePatient/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
LIAAD/yake
Single-document unsupervised keyword extraction
MaartenGr/KeyBERT
Minimal keyword extraction with BERT
yuanxiaosc/Entity-Relation-Extraction
Entity 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
AimeeLee77/keyword_extraction
利用Python实现中文文本关键词抽取,分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。
crownpku/Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
JackHCC/Chinese-Keyphrase-Extraction
无监督中文关键词抽取(Keyphrase Extraction),基于统计,基于图【LDA与PageRank(TextRank, TPR, Salience Rank, Single TPR等)】,基于嵌入【SIFRank等】,开箱即用!
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
recommenders-team/recommenders
Best Practices on Recommendation Systems
tensorflow/lucid
A collection of infrastructure and tools for research in neural network interpretability.
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
pytorch/captum
Model interpretability and understanding for PyTorch
deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
nesl/ExMatchina
A Deep Neural Network explanation-by-example library for generating meaningful explanations
ripperhe/Bob
Bob 是一款 macOS 平台的翻译和 OCR 软件。
lileipisces/EXTRA
SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation
understandable-machine-intelligence-lab/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
shap/shap
A game theoretic approach to explain the output of any machine learning model.