ChengweiBian

ChengweiBian's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.8k

• dhlee347/pytorchic-bert

  Pytorch Implementation of Google BERT

  Language:Python590180

• bkj/ulm-basenet

  Implementation of ULMFit algorithm for text classification via transfer learning

  Language:Python9518

• CyberZHG/keras-bert

  Implementation of BERT that could load official pre-trained models for feature extraction and prediction

  Language:Python2.4k513

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.2k7.6k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.4k2.1k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.1k9.6k

• brightmart/sentiment_analysis_fine_grain

  Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

  Language:Jupyter Notebook592161

• NLPScott/bert-Chinese-classification-task

  bert中文分类实践

  Language:Python735224

• Socialbird-AILab/BERT-Classification-Tutorial

  Language:Python531144

• inspirehep/magpie

  Deep neural network framework for multi-label text classification

  Language:Python684192

• NVIDIA/sentiment-discovery

  Unsupervised Language Modeling at scale for robust sentiment classification

  Language:Python1.1k202

• janvanrijn/openml-defaults

  Search for a set of defaults for sklearn and mlr

  Language:Python21

• janvanrijn/openml-pimp

  Parameter Importance according to OpenML

  Language:Python138

• rantsandruse/lstm_attention_tf

  Add attention layer to LSTM/word2vec model for sentiment analysis using tensorflow

  Language:Jupyter Notebook2718

• charlesashby/CharLSTM

  Bidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation

  Language:Python4915

• mandeep147/Amazon-Product-Recommender-System

  Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

  Language:Jupyter Notebook241136

• cbaziotis/datastories-semeval2017-task4

  Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

  Language:Python19663

• thunlp/NSC

  Neural Sentiment Classification

  Language:Python28694

• sookinoby/sentiment-analysis2

  Sentiment ananlysis in keras and mxnet

  Language:Jupyter Notebook3615

• amitt001/Android-App-Reviews-Dataset

  Android App reviews Crawler and 10k dataset of positive and negative reviews

  Language:Python2914

• tensorflow/nmt

  TensorFlow Neural Machine Translation Tutorial

  Language:Python6.4k2k

• bmabey/pyLDAvis

  Python library for interactive topic model visualization. Port of the R LDAvis package.

  Language:Jupyter Notebook1.8k363

• Kyubyong/wordvectors

  Pre-trained word vectors of 30+ languages

  Language:Python2.2k392

• sgjimenezv/neighboring_words

  The word2set representation generator.

  Language:Python41

• atruelove/AppStoreCrawlers

  Language:Python31

• mladerman/iTunes-App-Store-Crawler

  Scrapes a large portion of the app store and outputs information for each app.

  4321

• bobye/acl2017_document_clustering

  code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

  Language:Python216

• utkuozbulak/unsupervised-learning-document-clustering

  Document clustering and topic modelling with Python

  Language:Python8638

• vitalv/doc-clustering-topic-modeling

  NLP document clustering and topic extraction (Natural Language Processing, Text Mining)

  Language:Jupyter Notebook1