MIRZA 's repositories
chrisjmccormick.github.io
My machine learning blog, built on Poole
Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
In-depth-NLP
POS, NER, Sentiment & Semantics, VADER, LDA, Topic Modeling using spaCy and NLTK
kindle_review_dataset
here is kindle review dataset
Movielens1M-Movie-Recommendation-System
使用MovieLens数据集实现了基于Auto Encoder(AE), Variational Auto Encoder(VAE), BERT的深度学习电影推荐系统
nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
nlp-journey
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
Sentiment-analysis-amazon-Products-Reviews
NLP with NLTK for Sentiment analysis amazon Products Reviews
SST-2-sentiment-analysis
Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch
xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding