Discover

Stars
4
Rank 3,304,323 (Top 66 %)
Language
Jupyter Notebook
Created over 3 years ago
Updated over 3 years ago

Ankit-Kumar-Saini

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Implementation of state-of-the-art NLP models using transformers for tasks including machine translation, text-summarization, chatbots, and question answering.

Coursera_Deep_Learning_Specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

Jupyter Notebook

Coursera_TensorFlow_Advanced_Techniques_Specialization

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

Jupyter Notebook

Dog_Breed_Classifier

End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles

Jupyter Notebook

Applications-of-Data-Science

Programming assignments to demonstrate the Applications of Data Science. These were completed as part of the Plaksha Tech Leaders Fellowship program.

Jupyter Notebook

Disaster-Response-NLP-Pipeline

End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.

Jupyter Notebook

Machine-Learning-Lab-Plaksha

Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.

Jupyter Notebook

Ankit-Kumar-Saini/Coursera_Natural_Language_Processing_Specialization

Ankit-Kumar-Saini

Reviews

Repository Details

More Repositories