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chloebot

chloe is an end to end neural network chatbot written in PyTorch based on the transformer. Accomplishing goals through conversation is a task we can all relate to, thus chatbots are an ideal agent through which to connect new research to our current understanding of AI and demonstrate how new research brings us closer to human level intelligence or not

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningexamples

Deep Learning Examples

demo

This is a demo repository

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

extending-google-bert-as-question-and-answering-model-and-chatbot

BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of data. We can extend the BERT question and answer model to work as chatbot on large text. To accomplish the understanding of more than 10 pages of data, here we have used a specific approach of picking the data.

finbert

Financial Sentiment Analysis with BERT

letslearngit

Learning Git

nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

numpy-cnn

A numpy-only implementation of a Convolutional Neural Network, from the ground up.

photo

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

spell_model_100epoch