Accagain2014

Accagain2014's Stars

• explosion/spaCy

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  Language:Python30.6k5625.7k4.4k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.7k1432.3k2.5k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k416243.3k

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.5k1257571.2k

• huggingface/tokenizers

  💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

  Language:Rust9.2k1221k822

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.5k388311.7k

• shenweichen/DeepCTR

  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

  Language:Python7.6k1783702.2k

• Morizeyao/GPT2-Chinese

  Chinese version of GPT2 training code, using BERT tokenizer.

  Language:Python7.5k1612511.7k

• stanfordnlp/stanza

  Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

  Language:Python7.3k140908897

• CLUEbenchmark/CLUEDatasetSearch

  搜索所有中文NLP数据集，附常用英文NLP数据集

  Language:Python4.2k6212616

• CLUEbenchmark/CLUE

  中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

  Language:Python4k90100542

• facebookresearch/StarSpace

  Learning embeddings for classification, retrieval and ranking.

  Language:C++4k176199530

• wzhe06/Reco-papers

  Classic papers and resources on recommendation

  Language:Python3.3k1943806

• google-research/electra

  ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

  Language:Python2.3k59123354

• imcaspar/gpt2-ml

  GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

  Language:Python1.7k3889334

• tczhangzhi/pytorch-distributed

  A quickstart and benchmark for pytorch distributed training.

  Language:Python1.6k1720299

• CLUEbenchmark/CLUENER2020

  CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

  Language:Python1.5k2093303

• facebookresearch/LAMA

  LAnguage Model Analysis

  Language:Python1.4k7148185

• epfml/attention-cnn

  Source code for "On the Relationship between Self-Attention and Convolutional Layers"

  Language:Python1.1k2710127

• yangxudong/deeplearning

  深度学习相关的模型训练、评估和预测相关代码

  Language:Python1k3525378

• kang205/SASRec

  SASRec: Self-Attentive Sequential Recommendation

  Language:Python7481629160

• scofield7419/sequence-labeling-BiLSTM-CRF

  The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.

  Language:JavaScript7013420257

• haiker2011/awesome-nlp-sentiment-analysis

  :book: 收集NLP领域相关的数据集、论文、开源实现，尤其是情感分析、情绪原因识别、评价对象和评价词抽取方面。

  64217288

• FeiSun/BERT4Rec

  BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

  Language:Python6281018162

• JayYip/m3tl

  BERT for Multitask Learning

  Language:Jupyter Notebook5471966125

• cxy229/BDCI2019-SENTIMENT-CLASSIFICATION

  CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案

  Language:Jupyter Notebook51645124

• soulbliss/NLP-conference-compendium

  Compendium of the resources available from top NLP conferences.

  46036050

• createmomo/CRF-Layer-on-the-Top-of-BiLSTM

  The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/

  Language:Python2056551

• BangLiu/ConcepT

  1236020

• ecchochan/roberta-squad

  roBERTa training for SQuAD

  Language:Python513118