A.B's repositories
Neural-Network
Deep Learning, Attention, Transformers, BERT, GPT-2, GTP-3
Natural-Language-Processing-NLP-Tutorial
NLP tutorials and guidelines to learn efficiently
Data-Gathering-And-Preprocessing
Tutorial- data Pre-processing
MachineLearning_With_Python
Machine Learning Tutorial
BERTPOSTAG
In this project we will be performing one of the most famous task in the field of nautal language processing i,e Parts of Speech Tagging using BERT.
gpt-discord-bot
Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.
openai-cookbook
Examples and guides for using the OpenAI API
Deployment_Production
Deployment in Server and pseudo-server for Development purpose & MLOPS
jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line.
NaturalLanguageProcessing-NLP
Natural Language Processing
Paraphrase
Two sentences are paraphrases if their meanings are equivalent but their words and syntax are different
Regularization
Tutorial to handle Overfitting-Underfitting
SPELLCORRECTOR
In this project we have used deep learning approaches to build a spelling corrector.
TextclassificationLSTM
In this project we will be building a text classifier using LSTM and Wor2vec
Generative-AI-tutorials
Generative AI Full Course
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;
coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Data-Analytics-with-Python
NPTEL - By Prof. A Ramesh | IIT Roorkee
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks