NLP-colab-trainer

A collection of colab trainer for NLP tasks.

Check all NLP Tasks and their Progress Here

NLP and deep learing models and packages

• Tensorflow1 (Tensorflow)(transfer learning)(CNN)(RL)(image)
• Tensorflow2(BERT)(autoencoder)(keras)(tpu)
• Nvidia--main-branch (tokenizer)(BERT)(all nlp tasks)
• Nvidia-nemo-github-tutorial (classification)(QA)(machine translation)(token classification)(language modeling)
• Nvidia-nemo-github-colab-train (classification)(QA)(machine translation)(token classification)(language modeling)
• BERT-training+fine tuning(TPU)(END to END)
• BERT-fine-tuning-tensorflow
• BERT-pretraining-tutorial

NLP Sentiment Analysis

• RNN-base
• Sklearn
• Bag of words model(tokenisation)
• Bi-directional LSTM + BERT(IMDB data)
• XLNET-Bert
• Nltk-sentiment-train
• RNN-base2
• Updated-RNN (pre-train word embedding)(Bi-RNN)
• Faster-updated (fasttext)
• CNN
• Multi-class Sentiment-analysis
• Transformer-base(BERT)
• Fine-tune-bert (fine-tuning BERT,ALBERT,DistilBERT)
• BERT
• Tensorflow-tutorial-RNN
• nltk2

Text Classification

• Text classification and Sentiment analysis trainer are same. We can use any classifier Trainer
• Nvidia-Nemo-Classifier (Text_Classification_Sentiment_Analysis)
• RNN
• Tensorflow
• Text-classification-exercise (Classifier pre-precessor)

Name Entity Recognition(NER)

• CNN
• LSTM
• Bi-LSTM
• BERT
• SKlearn-Crf/Nltk
• NER-BERT
• Simple_Transformers
• chinese-ner
• BERT-NER2 (python-script)
• BERT-ChineseNER2 (Easy)
• BERT-LSTM-CRF-layer-Chinese

Parts of Speech(pos) tagging

• nltk/sklearn-CRF
• RNN
• LSTM+CNN
• Bert
• Bi-LSTM-1
• Bi-LSTM-2
• Tranformer

Coreference_resolution

• SpanBert
• Featured base

Word embedding

• Tensorflow
• Gensim word2vec
• Glove
• Doc2vec
• Gensim2
• Fasttext
• Bert

Sentence embedding

Question Answering

Summarization

Machine translation

Missing elements