sk38897

shap

A unified approach to explain the output of any machine learning model.

XAIFinance

Event Embedding & Deep Learning on VIX / UVXY / VIXXB

antlr4

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

bayesian

Utility for Bayesian reasoning

cape-chrome

Chrome extension allowing users to ask questions about the web page they're currently viewing

cape-client

Python client library for the Cape machine reading API

cape-document-manager

Document management with retrieval

cape-document-qa

This repo contains a machine reading model, built on top of on document-qa, a powerful machine reading library and recent state of the art approach in open domain question answering.

cape-email-plugin

cape-frontend

This package provides a management UI for Cape

sk38897/flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

sk38897/treeexplainer-study

Code and documentation for experiments in the TreeExplainer paper

sk38897/cdQA

An End-To-End Closed Domain Question Answering System.

sk38897/shap

A unified approach to explain the output of any machine learning model.

sk38897/Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

sk38897/stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

sk38897/text_mining_resources

Resources for learning about Text Mining and Natural Language Processing

sk38897/XAIFinance

Event Embedding & Deep Learning on VIX / UVXY / VIXXB

sk38897/FinanceXAI

sk38897/webppl

Probabilistic programming for the web

sk38897/question-generation

Neural text-to-text question generation

sk38897/simplenlg

Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

sk38897/cape-document-qa

This repo contains a machine reading model, built on top of on document-qa, a powerful machine reading library and recent state of the art approach in open domain question answering.

sk38897/cape-webservices

Entrypoint for all backend cape webservices

sk38897/cape-frontend

This package provides a management UI for Cape

sk38897/cape-responder

The responder library abstracts cape's machine reading functionality without the webservices

sk38897/cape-userdb

Provides a user management and configuration database for Cape

sk38897/cape-email-plugin

sk38897/cape-machine-reader

Common interface for cape machine reader

sk38897/cape-splitter

Split documents into chunks

sk38897/cape-document-manager

Document management with retrieval

sk38897/openedgar

OpenEDGAR (openedgar.io)

sk38897/probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

sk38897/cape-client

Python client library for the Cape machine reading API

sk38897/cape-chrome

Chrome extension allowing users to ask questions about the web page they're currently viewing

sk38897/edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

sk38897/cape-slack-tutorial

Example code for the Cape slack tutorial

sk38897/ctrlf-tutorial

AI powered Ctrl-F using alpha.thecape.ai API

sk38897/marketvectors

vector files mapped to stock events for goldman sachs (ticker: gs)

sk38897/kubeflow

Machine Learning Toolkit for Kubernetes