robspringles Goto Github PK

absc

aspect-based sentiment classification

adversarial-learning-for-neural-dialogue-generation-in-tensorflow

Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

aperture

Record the screen on macOS

argument-scoring-system

articanon

Neural Text Generation and Buddhism Collide

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

attribute-based-text-generation

Natural language generation given categorical attribute values

autocomplete

Character language modelling for sequence autocomplete

automated-health-responses

A prototype project for automated, physician-like responses to medical questions

bayesnetwork

Neural Network plus Bayes Network experiment

behavioral-cloning

CNN trained on human driving to predict steering angle for video game car

bidaf

PyTorch implementation of Bi-Directional Attention Flow for Machine Comprehension

bilstm-ccm

BiLSTM Models with CCM and CoDL for leveraging partially labeled sequences

business-problem-using-nns

This is a basic solution for a bank problem in which they decide that if a person will discontinue banking with them or not

bytenet-tensorflow

ByteNet for character-level language modelling

calm

Context Aware Language Models

character-level-cnn

Keras implementation of Character-level CNN for Text Classification

character-level-text-generation

A GRU RNN that generates text by building a language model at character level.

chatbot

Victor- A generative ChatBot created using sequence-to-sequence model consists of two recurrent neural networks (RNNs): an encoder that processes the input and a decoder that generates the output.It can be trained on any desired dataset for specific purposes. Instead of ordinary ChatBots which are based on hard-coded responses, it can understand context and respond accordingly.

chatbot-memn2n-tensorflow

Tensorflow Implementation of Learning End-to-End Goal-Oriented Dialog.

content-analysis

content-downloader

Python package to download files on any topic in bulk.

contextnewsbot

:newspaper: Solving the misinformation problem in the information age using machine learning.

contextual-agent-model

An Agent Model based on RasaNLU with Intent and Context Management

contextual_augmentation

Contextual augmentation, a text data augmentation using a bidirectional language model.

conversational-form

Turning web forms into conversations

conversationalai

Exploring various Conversational AI frameworks

cuttlefish

Transactional email server with a lovely web interface

dateparser

python parser for human readable dates

deadsimplespeechrecognizer

CNN based Minimal model for recognizing word