A collection of colab trainer for NLP tasks.
Check all NLP Tasks and their Progress Here
- 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
- 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 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)
- 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