There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Curriculum_Vitae
It contains curriculum vitae(CV)GitHub_recovery_codes
text file with GitHub recovery codesCPU_Usage_Memory_Usage_using_CPU
Train_And_Test_Using_ALBERT
Image_processing_using_Python
ANN-using-TensorFlow
Train a Artificial Neural Network (ANN) model using TensorFlowFineTuning_BERT_with_Masked_Language_Modeling
StatementExtractor
Aspect_based_sentimental_analysis
language-server-identifier-generator
Toxic_Comment_Classification
Sentiment_Analysis
Predict the number of positive and negative reviews using either classification or deep learning algorithms.Functionalities_of_TextBlob
TextBlob is an open-source python library used to perform NLP activities like Lemmatization, Stemming, Tokeneization, Noun Phrase Extraction, POS, Tagging, N-Grams, Sentimental Analysis.Web_Scraping_Ballerina
prediction_by_java
FineTune_ALBERT_NLP
Fine tuning ALBERT model using hunger games.txt file to train and test the model for the predict the masked token in the sentence.Classification_of_Bharatanatyam_Mudra_Images_using_CNN
Classification of Bharatanatyam Mudra Images using Convolutional Neural Network and Grad-CAM ImplementationCPU_Usage_Memory_Usage_using_GPU
This colab notebook gives to find the CPU usage and memory usage using GPU runtime to load the fine tuned ALBERT model and determine the time taken for the predict the mask token in the code statement.Love Open Source and this site? Check out how you can help us