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abnormal_event_detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

aesop-fables-stories

ai_chatbot_python

AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn

anomaly-detection-in-surveillance-videos

Real-World Anomaly Detection in Surveillance Videos

assignment

automatic-question-generator

Automatic Question Generator from TEXT

awesome-colab-notebooks

Collection of google colaboratory notebooks for fast and easy experiments

awesome-public-datasets

A topic-centric list of HQ open datasets.

banking-faq-bot

This is retrieval based Chatbot based on FAQs found at a banking website.

biaxial-rnn-music-composition

A recurrent neural network designed to generate classical music.

blossom

An implementation of edmond's blossom algorithm

building-a-simple-chatbot-in-python-using-nltk

Building a Simple Chatbot from Scratch in Python (using NLTK)

cat-dog-cnn-classifier

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

chatbot

Pytorch Generative ChatBot (Dialog System) based on RNN, Transformer, Bert and GPT2

chatbot-1

Chatbot implementation using Cornell Movie Dialog Dataset in PyTorch.The bot can converse with the user and can answer the questions asked though it doesn't pass the Turing Test

chatbot-rnn

A toy chatbot powered by deep learning and trained on data from Reddit

chatbot-seq2seq

A Deep Learning (RNN-LSTM) Based Chatbot built using the Seq2Seq Model

chatbot-using-recurrent-neural-networks

A conversational agent or a chatbot is piece of software which can communicate with human users with the help of natural language processing (NLP). Modelling conversation is a very crucial task in natural language processing and artificial intelligence (AI). Since the discovery of artificial intelligence, creating a good chatbot is one of the field’s hardest and complex challenges. Chatbots can be used for various tasks such as make phone calls, provide reminders etc; in general they have to understand users’ utterances and provide relevant responses for the problem in hand. Previously, methods which were used for constructing chatbot architectures relied on hand-written rules, templates or simple statistical methods. Rising and innovating field of deep learning have replaced previous models with trainable neural network models. The recurrent encoder-decoder model is the dominating model in the field modelling conversations. Multiple variations and features have been presented that have changed the quality of the conversation that chatbots are capable of. In our project, we have surveyed recent literatures published, examining various publications related to chatbots. We started with taking Cornell movie dialogue corpus as our dataset then after training our model with it and fine tuning it with various parameters, non-satisfactory results lead us to take another dataset and we trained and tested our final model on modified Gunthercox dataset which gave us satisfactory results for an open domain chatbot or general domain chatbot.

chatbot_project

Generative Chatbot using Tensorflow and the Cornell Movie-Dialogs Corpus

chatbotwithcornell

A Chatbot using a Seq2Seq and Recurrent Neural Network, the chatbot learns from the script of the Cornell Movie Dialogs Corpus https://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html . It is inspired by the udemy course Deep Learning and NLP A-Z™: How to create a ChatBot of Hadelin de Ponteves, Kirill Eremenko and SuperDataScience Team

chatcrazie

A chatbot implemented using RNN and GloVe embeddings whch answers your query crazily

cmsc190_jdfernandez

Image-Based Crop Leaf Disease Identification Using Convolutional Neural Network (CNN) [2 AY 2019-2020]

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

courseraproject

dance

repository for Universal Domain Adaptation through Self-supervision

datasciencecoursera

dataset

The Open Images dataset

datasharing

The Leek group guide to data sharing

deep-image-search-engine

A repository for our deep image search project for the course Search Engine Architecture at NYU Courant. (https://cs.nyu.edu/courses/spring17/CSCI-GA.3033-006/)

deep-text-recognition-benchmark

PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)