Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-ai
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
https://github.com/hades217/awesome-ai
- AI & ML Events - Discover the best upcoming hand-picked events in the field of artificial intelligence and machine learning
- Machine Learning - *Stanford University* This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. *Taught by: Andrew Ng*
- MIT Artifical Intelligence Videos - *MIT* This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.
- Machine Learning - Basic machine learning algorithms for supervised and unsupervised learning
- Deep Learning for Natural Language Processing - *University of Oxford* This is an applied course focussing on recent advances in analysing and generating speech and text using recurrent neural networks.
- Deep Learning for Natural Language Processing - *Stanford University* Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement, emails, customer service, language translation, radiology reports, etc.
- Machine Learning - *Cornell University* This course will introduce you to technologies for building data-centric information systems on the World Wide Web, show the practical applications of such systems, and discuss their design and their social and policy context by examining cross-cutting issues such as citizen science, data journalism and open government. Course work involves lectures and readings as well as weekly homework assignments, and a semester-long project in which the students demonstrate their expertise in building data-centric Web information systems.
- Deep Learning Explained - *Microsoft* This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology.
- Machine Learning: Regression - *University of Washington* In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied.
- Machine Learning: Clustering & Retrieval - *University of Washington* A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover?
- Neural Networks for Machine Learning - *University of Toronto with Geoffrey Hinton* Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.
- Machine Learning With Big Data - *University of California, San Diego* Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.
- Introduction to Artificial Intelligence - *UC Berkeley* This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
- Advanced Artificial Intelligence - *Cornell University* The design of systems that are among top 10 performers in the world (human, computer, or hybrid human-computer).
- Artificial Intelligence (AI) - *Columbia University with Professor Ansaf Salleb-Aouissi* This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
- A Beginner's Guide to Generative Adversarial Networks (GANs) - Generative adversarial networks (GANs) are deep neural net architectures comprised of two nets, pitting one against the other.
- GAN — What is Generative Adversary Networks GAN? - GAN is about creating, like drawing a portrait or composing a symphony. This is hard compared to other deep learning fields..
- Artificial Intelligence for Robotics - *Georgia Tech* Artificial Intelligence for Robotics by Sebastian Thrun
- Advanced Robotics - *UC Berkeley* The course introduces the math and algorithms underneath state-of-the-art robotic systems. The majority of these techniques are heavily based on probabilistic reasoning and optimization---two areas with wide applicability in modern Artificial Intelligence.
- Arago/HIRO
- Arimo
- Ayasdi
- DataRobot
- Dataminr
- Einstein
- Fuzzy AI
- Logit.io
- Logz.io
- NXT AI
- Paxata
- Poweredby.ai
- Sundown
- UBIX
- Student Voice - automatic free-text labelling for education
- Geometric Intelligence - Geometric Intelligence apart of the Uber AI Labs
- kaggle - a platform for predictive modelling and analytics competitions in which companies and researchers post data and statisticians and data miners compete to produce the best models for predicting and describing the data
- Boston Dynamics - an engineering and robotics design company that is best known for the development of BigDog
- iRobot - manufacturer of the famous robotic vacuum cleaner
- DJI - industry leader in drones for both commerical and industrial needs.
- Fetch Robotics - The future of e-commerce fulfillment and R&D robots.
- ABB Robotics - the largest manufacturer of industrial robots
- Aldebaran Robotics - creator of the [NAO robot
- FANUC - industrial robots manufacturer with the biggest install base
- Rethink Robotics - creator of the collaborative robot [Baxter]
- API.ai
- Broken Bear
- Chatfuel
- ChatGenius
- Comm.ai
- Conversica
- EDDI
- FPT AI Platform - users
- Golem.ai
- Gong
- Kasisto
- KITT.AI
- Maluuba
- Massively
- Meya
- MindMeld
- Motion AI
- msg.ai
- Octane AI
- OpenAI Gym
- Orbit
- PageLines - AI Agents to Enhance Your Website
- Pool
- Recast
- Reply.ai
- Semantic Machines
- Snips
- Servo
- UNU.ai
- Unify - commerce chatbot
- uTu - channel bot analytics and data management
- Voilà - powered browser assistant to help you with everyday tasks
- Wechaty - Wechaty is a Bot Framework for Wechat Personal Account which can help you create a bot
- Wit.ai
- Wysh
- Zero AI
- Arize
- BigML
- CrowdFlower
- Dataiku
- DataScience
- Domino Data Lab
- Kaggle
- Katonic.ai - Automate your cycle of Intelligence with Katonic MLOps Platform.
- Phoenix - open source library; LLM observability in a notebook
- RapidMiner
- Seldon
- Spark
- Tamr
- Trifacta
- Yhat
- Yseop
- AnOdot
- Bonsai
- Deckard.ai
- Fuzzy.ai
- IBM Watson
- Gigster
- Kite
- Layer 6 AI
- Morp
- Ozz
- RainforestQA
- SignifAI
- Turtle
- Neural Network - Libraries by Sony. Sony demonstrates its interest in deep learning by releasing their own open source deep learning framework.
- TensorFlow neural network playground - Play with neural networks visually in your browser to get a feel for what they are and what they do.
- Vinli
- Apollo - by Baidu. Newly launched source platform for building autonomous vehicles.
- Docubot
- Driveway
- Amazon Echo / Alexa - home
- Apple Siri
- Brin
- Chatfuel
- Findo
- Fembot
- Fin
- Gatebox
- Google Assistant
- Howdy - a friendly, trainable bot that helps Slack teams with work
- Hound
- Julie Desk - Suite)
- Kono
- Lifos
- Ling
- Luka
- Lyra
- Magic - Magic is a special phone number you text to get anything you want, hassle free
- Microsoft Cortana - Cortana is a voice-controlled virtual assistant for Microsoft Windows Phone 8.1. Comparable to Siri, the intelligent assistant enabled on Apple devices, Microsoft's Cortana will use the Bing search engine and data stored on the user's smartphone by to make personalized recommendations
- MyWave - Melbourne-based which makes a personal call
- Meeco - Sydney-based, a robot lawyer
- Mycroft
- Remi
- Safurai - Safurai is the AI Code Assistant that saves you time in changing, optimizing, and searching code.
- Spoken
- Viv
- x.ai
- AIHelperBot - Build SQL queries using AI
- ZZZ Code AI - Get any programming question answered / code generated online
- Thirdleap
- Woogie
- XiaoJing Bot - XiaoJing Bot to support management of wechat groups and remove members of wechat group
- CodeKidz - powered programming learning platform for kids, featuring AI teachers to teach Python basics, problem-solving, and creativity with human-like responses
- RightBlogger - Powered Content Creation Tools for Bloggers
- Jasperi AI
- Writesonic - friendly content
- Taskade AI
- Clap - Free, Seamless Typing Experience
- Myriad
- Abi
- Ada
- Airi
- Alz.ai
- Bitesnap
- doc.ai
- Gyan
- Joy
- Tess by X2AI
- Ada
- Emma
- ETA
- Mezi
- Nexar
- Ready
- Spatial
- Morpher AI
- Abe
- Andy
- Ara
- Bond
- Mylo
- Responsive - grade active portfolio management
- Roger
- Xoe.ai
- Microsoft Translator
- Watson.ai
- Aerial
- Bridge.ai - home platform focused on speech and sound
- Cubic
- Grojo
- Home
- Hello
- Josh
- Mycroft
- Nanit
- Nest - home devices such as Thermostat, security and alarms
- Apollo
- Ferret.ai
- Iris
- CaptionBot
- Crowdfunding.ai
- Fieldguide
- Reinforcement Learning: An Introduction - This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists.
- Deep learning reading list - A thorough list of academic survey papers on the subjects of reinforcement learning, computer vision, NLP & speech, disentangling factors, transfer learning, practical tricks, sparse coding, foundation theory, feedforward networks, large scale deep learning, recurrent networks, hyper parameters, optimization, and unsupervised feature learning.
- TensorFlow - Large-Scale Machine Learning on Heterogeneous Distributed Systems by Google Research (2015). How TensorFlow works.
- BuzzRobot AI Newsletter - edge artificial intelligence papers.
- Caffe - Deep learning framework.
- Alexa Skill Kit - Library for effortless Alexa Skill development with AWS Lambda
- Facebook Messenger chatbot boilerplate - PHP Facebook Messenger chatbot boilerplate
- Facebook Messenger wit.ai node.js boilerplate - Facebook Messenger wit.ai node.js boilerplate
- Telegram Bot API PHP SDK - Telegram Bot API PHP SDK. Supports Laravel out of the box
- Wechaty - Wechaty is a Bot Framework for Wechat Personal Account which can help you create a bot
- Node.js Messenger Bot - A Node client for the Facebook Messenger Platform
- BootBot - Facebook Messenger Bot Framework for Node.js
- Ruby Telegram bot boilerplate
- python-telegram-bot - This library provides a pure Python interface for the Telegram Bot API
- Twitter-text - Twitter's text processing library
- natural - General natural language facilities for node
- Clustering.js - Clustering algorithms implemented for Node.js and the browser
- Kmeans.js - Implementation of the k-means algorithm, for node.js and the browser
- sylvester - Vector and Matrix math for JavaScript.
- DN2A - Digital Neural Networks Architecture
- Knwl.js - A Natural Language Processor in JS
- NLP Compromise - Natural Language processing in the browser
- science.js - Scientific and statistical computing in JavaScript.
- Machine Learning - Machine learning library for Node.js
- machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration.
- Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js
- brain.js - Neural Networks
- Synaptic - Neural Networks
- Natural - Natural Language Processing
- ConvNetJS - Convolutional Neural Networks
- mljs - A set of sub-libraries with a variety of functions
- Neataptic - Neural Networks
- Webdnn - Deep Learning
- Lasagne - Lightweight Python library for deep learning (built on Theano).
- LLM App - source Python library to build your real-time LLM-enabled data pipeline.
- Neptune.ai
- AI Weekly
- Axiomzen
- Concerning.ai
- Fast.ai
- Machinelearning.ai
- Machine Learning Weekly - curated newsletter ML and DL
- Artificial Intelligence News -- ScienceDaily - Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more.
- Podcast with Yoshua Bengio - The Rise of Neural Networks and Deep Learning in Our Everyday Lives. An exciting overview of the power of neural networks as well as their current influence and future potential.
- The AI Conference
- The AI Forum
- Chatbot Summit - Chatbot Summit Berlin is the second international Chatbot Summit destined to bring together the leading players of the newly formed Chatbot economy
- Deep learning Google Group - Where deep learning enthusiasts and researchers hangout and share latest news.
- Deep learning research groups - A list of many of the academic and industry labs focused on deep learning.
- Amsterdam
- Hongkong
- London
- New York
- San Francisco AI meetup - A local meetup for AI enthusiasts and researchers that we’re involved in.
- Seattle
- Chatbots NYC - Meetup in New York City
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Programming Languages
Keywords
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6
bot
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telegram
2
python
2
machine-learning
2
facebook
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