zylxadz

zylxadz's Stars

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k373

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python35.5k5.9k

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python139k26.4k

• OFA-Sys/DAFlow

  Language:Python12416

• ZhaoJ9014/Multi-Human-Parsing

  🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

  Language:JavaScript657103

• chenfei-wu/TaskMatrix

  Language:Python34.5k3.3k

• 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

  Language:Jupyter Notebook1.9k409

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.3k4.5k

• liucongg/NLPDataSet

  记录本人整理的一些数据集

  980131

• LeeSureman/Flat-Lattice-Transformer

  code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

  Language:Python1k178

• lonePatient/BERT-NER-Pytorch

  Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

  Language:Python2.1k425

• macanv/BERT-BiLSTM-CRF-NER

  Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

  Language:Python4.7k1.3k

• flairNLP/flair

  A very simple framework for state-of-the-art Natural Language Processing (NLP)

  Language:Python13.8k2.1k

• LIAAD/yake

  Single-document unsupervised keyword extraction

  Language:Python1.6k227

• MaartenGr/KeyBERT

  Minimal keyword extraction with BERT

  Language:Python3.4k342

• 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

  Language:Python1.2k271

• 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。

  Language:Python1.1k378

• 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

  Language:Python2.2k814

• 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！

  Language:Python10011

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.2k4.2k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.8k3.1k

• tensorflow/lucid

  A collection of infrastructure and tools for research in neural network interpretability.

  Language:Jupyter Notebook4.7k655

• 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.

  Language:C++16.5k3.8k

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python4.8k485

• deel-ai/xplique

  👋 Xplique is a Neural Networks Explainability Toolbox

  Language:Python61650

• nesl/ExMatchina

  A Deep Neural Network explanation-by-example library for generating meaningful explanations

  Language:Python152

• ripperhe/Bob

  Bob 是一款 macOS 平台的翻译和 OCR 软件。

  8.9k512

• lileipisces/EXTRA

  SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation

  Language:Python316

• understandable-machine-intelligence-lab/Quantus

  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

  Language:Jupyter Notebook52474

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.5k3.2k