All AI Resources at one place

We are trying to put all the AI related resources in one place so that anyone can find their relevant information from this page. The list contains all the resources for beginners, advanced learners as well as for researchers. We will keep updating the list.

Please feel free to give any suggestions and comments to make this list better.

Updated on: 26 May 2017

 

Resource for beginners:

[1] THE NATURE OF CODE

[2] Machine Learning Theory

[3] Introduction to Computer Science and Programming in Python

[4] Seeing Theory

[5] Udacity courses

[6] Hacker’s guide to Neural Networks

[7] CS 131 Computer Vision: Foundations and Applications

[8] Coursera Machine Learning courses

[9] Introduction to Artificial Neural Networks and Deep Learning

[10] Python Programing by Harrison

[11] Youtube channel of Harrison(from basic python to machine learning)

[12] Matlab neural network toolbox

[13] Matlab for deep learning

[14] Learning Circles

[15] Playground

[16] A.I. Experiments

[17] Machine Learning Algorithm Cheat Sheet

[18] Tombone’s Computer Vision Blog

[19] Bokeh Gallery

[20] A visual introduction to machine learning

[21] Machine Learning Mastery

[22] Everything I know about Python

[23] TensorFlow and Deep Learning without a PhD(video)

[24] Daniel Nouri Blog

[25] Programming a Perceptron in Python

[26] Improving our neural network by optimising Gradient Descent

[27] Learn TensorFlow and deep learning, without a PhD.(note)

[28]  13 Free Self-Study Books on Mathematics, Machine Learning & Deep Learning

[29] Python Program Flow Visualizer

[30] Collaborative Open Computer Science

[31] The Open Cognition Project

[32] Hvass Labs TensorFlow Tutorials

[33] Introduction to Machine Learning for Arts / Music

[34] Stanford University class CS231n: Convolutional Neural Networks for Visual Recognition by Prof. Fei-Fei Li 

[35] TSne

[36] Learning Object Categories

[37] Chris Olah’s blog

[38] CS224d: Deep Learning for Natural Language Processing

[39] Jake VanderPlas Blog 

[40] AIDL Blog

[41] KD Nuggets 

[42] AI Learning Path

[43] Andrej Karpathy blog

 

 

 

Resource for the average user:

[1] Deep Learning,  An MIT Press book

[2] Stanford University Deep Learning Tutorial

[3] A Guide to Deep Learning

[4] Deep Learning for Self-Driving Car

[5] Deep Learning for Self-Driving Cars (website)

[6] Deep Natural Language Processing

[7] Deep Learning documentation

[8] Deep Learning Tutorial

[9] Neural Networks and Deep Learning

[10] Deep Learning Forum

[11] Tensorflow for Deep Learning Research

[12] Pylearn2 Vision

[13] Siraj Raval youtube channel

[14] TUTORIAL ON DEEP LEARNING FOR VISION

[15] Mining of Massive Datasets

[16] Accelerate Machine Learning with the cuDNN Deep Neural Network Library

[17] Deep Learning for Computer Vision with Caffe and cuDNN

[18] Embedded Machine Learning with the cuDNN Deep Neural Network Library and Jetson TK1

[19] Deep Learning in your browser (ConvNetJS)

[20] Machine Learning with Matlab

[21] Toronto deep learning demo

[22] Fields lectures

[23] Zipfian Academy

[24] Machine Learning Recipes with Josh Gordon

[25] Microsoft Professional Program

[26] Intel for deep learning

[27] GPU Accelerated Computing with Python

[28] Import AI Newsletter

[29] Traffic Sign Recognition with TensorFlow

[30] Understand backpropagation

[31] Bigdata University

[32] Open-source language understanding for bots

[33] Pure Python Decision Trees

[34] Top 20 Python Machine Learning Open Source Projects

[35] Deep Learning, NLP, and Representations

[36] Deep Learning Research Review: Natural Language Processing

[37] Image-to-Image Translation with Conditional Adversarial Nets

[38] CMUSphinx Tutorial For Developers 

[39] Machine Learning in Arts by Gene Kogan

[40] The Neural Aesthetic

[41] Visualizing High-Dimensional Space

[42] Deep-visualization-toolbox

[43] Picasso CNN visualizer

[44] Self-Driving Car

[45] NN for Self-Driving Car

[46] Simulate a Self-Driving Car

[47] CS 20SI: Tensorflow for Deep Learning Research

 

 

Resources for advanced user and researchers:

[1] Recent Researches

[2] The Morning Paper

[3] Most Cited Deep Learning Papers

[4] Arxiv Sanity Preserver

[5] Uncertainty in Deep Learning

[6] Deep Patient

[7] A space-time delay neural network

[8] Google Cloud Natural Language API

[9] Blue Brain Project

[10] Whole genome sequencing resource

[11] Sorta Insightful

[12] The Eyescream Project

[13] Generative Adversarial Networks

 

Open source libraries/repositories/Framework:

[1] Tensor Flow

[2] Keras

[3] Scikit-learn

[4] Universe

[5] Torch

[6] Theano

[7] Machine Learning Library (MLlib)

[8] UC Irvine Machine Learning Repository

[9] The CIFAR-10 dataset

[10] NeuPy

[11] Deeplearning4j

[12] ImageNet

[13] Seaborn

[14] MLdata

[15] CNTK

[16] Natural Language Toolkit(NLTK)

[17] Spacy

[18] CoreNLP

[19] Requests: HTTP for Humans

[20] Computational Healthcare library

[21] Blaze

[22] Dask

[23] Array Express

[24] Pillow

[25] HTM

[26] Pybrain

[27] Nilearn

[28] Pattern

[29] Fuel

[30] Pylearn2

[31] Bob

[32] Skdata

[33] MILK

[34] IEPY

[35] Quepy

[36] nupic

[37] Hebel

[38] Ramp

[39] Machine-learning-samples

[40] H2O

[41] Optunity

[42] Awesome Public Datasets

[43] PyTorch

[44] Kubernetes

[45] Generative Adversarial Text-to-Image Synthesis

[46] Pydata

[47] Open Data Kit (ODK)

[48] Open Detection

[49] Mycroft

[50] Medical Image Net

[51] Biorxiv (archive and distribution service for unpublished preprints in the life sciences)

[52] Udacity Self-Driving Car Simulator 

[53] List of Medical Datasets and repositories

 

All video materials:

[1] Machine Learning Recipes with Josh Gordon

[2] Deep Learning for Vision with Caffe framework

[3] Stanford University Machine Learning course (By Prof. Andrew Ng)

[4] Deep Learning for Computer Vision by Dr. Rob Fergus

[5] Caltech Machine Learning Course

[6] Machine Learning and AI via Brain simulations

[7] Deep Learning of Representations (Google Talk)

[8] Data School

[9] How to run Neural Nets on GPUs’ by Melanie Warrick

[10] TensorFlow and Deep Learning without a PhD

[11] Youtube channel of Harrison(from basic python to machine learning)

[12] Siraj Raval youtube channel

[13] Machine Learning Prepare Data Tutorial

[14] Hvass Laboratories

Brain-Computer Interfacing:

[1] All BCI resources at one place

 

AI companies / organisations:

[1] DeepMind

[2] MILA

[3] IBM Watson

[4] The Swiss AI Lab (IDSIA)

[5] Comma AI

[6] Indico

[7] Osaro

[8] Cloudera

[9] Geometric Intelligence

[10] Skymind

[11] MetaMind

[12] Iris AI

[13] Feedzai

[14] Loomai

[15] BenevolentAI

[16] Baidu Research

[17] Rasa AI

[18] AI Gym

[19] Nervana

[20] CrowdAI

[21] Idiap Research Institute

[22] Maluuba

[23] Neurala

[24] Artificial Intelligence Group at UCSD

[25] Turi

[26] Enlitic

[27] Element AI

[28] Accel AI

[29] Datalog AI

[30] Fast AI

[31] Applied Brain Research

[32] Neuraldesigner

[33] Autox

[34] Niramai

[35] Isenses

[36] MedGenome

[37] Recursion Pharmaceuticals, Inc.

[38] Geometric Intelligence

[39] jukedeck (AI Musician)

[40] Galaxy AI

[41] Atomwise

[42] DeepArt

 

 

AI Personalities:

Yangqing Jia

Evan Shelhamer

Demis Hassabis

Josh Tenenbaum

Yoshua Bengio

Brendan J. Frey

Arun Kumar

Mostafa Samir

Andrej Karpathy

Justin Johnson

Fei-Fei Li

Juan Carlos Niebles

Carl Edward Rasmussen

Geoffrey E. Hinton

Yann LeCun

Neil Jacobstein

Andrew Ng

Jeffrey Dean

Rajat Monga

Manohar Paluri

Joaquin Quinonero Candela

Bhaskar Mitra

Pushmeet Kohli

Ilya Sutskever

Greg Brockman


2 thoughts on “All AI Resources at one place

  • March 18, 2017 at 3:18 am
    Permalink

    Are there any resources on the short comings of deep learning?

    Reply
  • June 20, 2017 at 11:42 pm
    Permalink

    Great effort. It’s very useful.

    Reply

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