Popular GitHub Repositories for Facebook Prophet

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

? Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.

Facebook AI Research's Automatic Speech Recognition Toolkit

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

NeuralProphet: A simple forecasting package

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Maid is a cross-platform Flutter app for interfacing with GGUF / llama.cpp models locally, and with Ollama and OpenAI models remotely.

Visually build a full featured chat bot for Telegram, Facebook Messenger, Whatsapp and Slack with Node-RED. Almost no coding skills required.

Winner of Mozilla's $50,000 prize for AI

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

Facebook chatbot that I trained to talk like me using Seq2Seq

Python API to develop chatbot on Facebook Messenger Platform

An open source Ruby framework for text and voice chatbots. ?

? The universal chatbot library based on React. Write once, launch Telegram, Discord, Facebook, ... every messenger with chatbots

Modeltime unlocks time series forecast models and machine learning in one framework

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).