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Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn
Real-World Anomaly Detection in Surveillance Videos
Automatic Question Generator from TEXT
Collection of google colaboratory notebooks for fast and easy experiments
A topic-centric list of HQ open datasets.
This is retrieval based Chatbot based on FAQs found at a banking website.
A recurrent neural network designed to generate classical music.
An implementation of edmond's blossom algorithm
Building a Simple Chatbot from Scratch in Python (using NLTK)
Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.
Pytorch Generative ChatBot (Dialog System) based on RNN, Transformer, Bert and GPT2
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
A toy chatbot powered by deep learning and trained on data from Reddit
A Deep Learning (RNN-LSTM) Based Chatbot built using the Seq2Seq Model
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.
Generative Chatbot using Tensorflow and the Cornell Movie-Dialogs Corpus
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
A chatbot implemented using RNN and GloVe embeddings whch answers your query crazily
Image-Based Crop Leaf Disease Identification Using Convolutional Neural Network (CNN) [2 AY 2019-2020]
Learning Convolutional Neural Networks with Interactive Visualization.
repository for Universal Domain Adaptation through Self-supervision
The Open Images dataset
The Leek group guide to data sharing
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/)
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.