1202 Open source projects that are alternatives of or similar to Ai Learning Roadmap

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Esper instance for TV news analysis

Self-knowledge through numbers

Courses, Articles and many more which can help beginners or professionals.

Funnel is a toolkit for distributed task execution via a simple, standard API.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Unsupervised ML algorithm for predictive modeling and time-series analysis

Hands video tracker using the Tensorflow Object Detection API and Faster RCNN model. The data used is the Hand Dataset from University of Oxford.

ChatoBot build with nodejs and tensorflowjs

Alan AI Power Apps SDK adds a voice assistant or chatbot to your Microsoft Power Apps project.

Finding the genre of a song with Deep Learning

专门面向中文用户的机器学习相关的学习资料大集合

A simple example of Facebook Messenger chatbot built with api.ai and node.js

All my experiments with AI and ML

📮 Dialogflow + Sendgrid = AI Mailbox

chatbot, an aiml interpreter for PHP

Starter Bot for Codingame's Coders Strike Back AI Challenge (Simulation Engine + Random Search)

An easily extensible chat bot for iMessage written in Swift.

A tool for managing secrets on Google Cloud

Create declarative cluster specifications for your managed Kubernetes vendor (GKE, AKS)

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

Adventures using keras on Google's Cloud ML Engine

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

Lets you connect strangers to each other, and intercept messages AKA Man in the Middle Attack

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

Simple chatbot in Python using NLTK and scikit-learn

A Node.js server for Google Assistant (and Google Home).

Monthly Series - Machine Learning Top 10 Open Source Projects

Multi-turn dialogue baselines written in PyTorch

Seoul AI Gym is a toolkit for developing AI algorithms.

Alexa client for all your devices! # No active development. PRs welcome # consider https://github.com/respeaker/avs instead

Essential Guide to keep up with AI/ML/DL/CV

Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

Notes and experiments to understand deep learning concepts

TensorFlow-based neural network library

Create HTML profiling reports from pandas DataFrame objects

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Overview of resources on AI and related topics

Plug-in Viber connector for Microsoft BotBuilder framework

A set of 🚀🚀🚀 components to be used with Botfront and/or Rasa

A list of awesome artificial intelligence resources for the GLAM community.

A Neural Framework for MT Evaluation

Deployment configuration for project Thoth

Get up and running with Jenkins on Google Kubernetes Engine

This is a end to end Personalisation business scenario

Google Cloud Tools for Visual Studio

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

AI system to simulate combat behaviors in a FPS game using Behavior Trees (UE4)

🔑 Google Auth Library for Node.js

An unbeatable game of Tic Tac Toe.

labs guide for completing qwiklabs challenge

Botfuel SDK to build highly conversational chatbots

CloudCV Visual Question Answering Demo

Dog and cat image classifier with deep learning

Data transformations for the ML era

Our NIPS 2017: Learning to Run source code