mansabshebi Goto Github PK

chrisjmccormick.github.io

My machine learning blog, built on Poole

coursera-nlp

deploy-bert-for-sentiment-analysis-with-fastapi

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

everything-about-support-vector-machine-

in-depth-nlp

POS, NER, Sentiment & Semantics, VADER, LDA, Topic Modeling using spaCy and NLTK

kindle_review_dataset

here is kindle review dataset

mirza

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

natural-language-processing

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

sentiment-analysis-of-amazon-kindle-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