NEW LIST 2023 - 2024: Machine-Learning / Deep-Learning / AI + Web3 -Tutorials

Hi - Thanks for dropping by!<br> <br> I will be updating this tutorials site on a <b>daily basis</b> adding all relevant topcis for 2022 - 2024 especially pertaining to GPU programming, Data Centric AI, Emerging topics like Sustainable AI with Web3AI.js (DeFI, DAO, NFT) and much more.<br>

NOTE: All these tutorials are supported and accelerated on NVIDIA GPUs <br> More importantly the applications of ML/DL/AI into industry areas such as Transportation, Medicine/Healthcare etc. will be something I'll watch with keen interest and would love to share the same with you. <br> Finally, it is YOUR help I will seek to make it more useful and less boring, so please do suggest/comment/contribute!

<p align="center"> <img src="https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/DK.png"> </p>

Index

• deep-learning

  • UBER | Pyro
  • Netflix | VectorFlow
  • PyTorch
  • tensorflow
  • theano
  • keras
  • caffe
  • Torch/Lua
  • MXNET

• scikit-learn

• statistical-inference-scipy

• pandas

• matplotlib

• numpy

• python-data

• kaggle-and-business-analyses

• spark

• mapreduce-python

• amazon web services

• command lines

• misc

• notebook-installation

• Curated list of Deep Learning / AI blogs

• credits

• contributing

• contact-info

• license

deep-learning

IPython Notebook(s) and other programming tools such as Torch/Lua/D lang in demonstrating deep learning functionality.

uber-pyro-probabalistic-tutorials

<p align="center"> <img src="https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/pyro.png"> </p>

Additional PyRo tutorials:

• pyro-examples/full examples
• pyro-examples/Variational Autoencoders
• pyro-examples/Bayesian Regression
• pyro-examples/Deep Markov Model
• pyro-examples/AIR(Attend Infer Repeat)
• pyro-examples/Semi-Supervised VE
• pyro-examples/GMM
• pyro-examples/Gaussian Process
• pyro-examples/Bayesian Optimization
• Full Pyro Code

netflix-vectorflow-tutorials

<p align="center"> <img src="https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/VectorFlow.png"> </p>

• MNIST Example, running with Dlang

pytorch-tutorials

<p align="center"> <img src="https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/PyTorch.png"> </p>

| Level | Description | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Beginners/Zakizhou | Learning the basics of PyTorch from Facebook. | | Intermedia/Quanvuong | Learning the intermediate stuff about PyTorch of from Facebook. | | Advanced/Chsasank | Learning the advanced stuff about PyTorch of from Facebook. | | Learning PyTorch by Examples - Numpy, Tensors and Autograd | At its core, PyTorch provides two main features an n-dimensional Tensor, similar to numpy but can run on GPUs AND automatic differentiation for building and training neural networks. | | PyTorch - Getting to know autograd.Variable, Gradient, Neural Network | Here we start with ultimate basics of Tensors, wrap a Tensor with Variable module, play with nn.Module and implement forward and backward function. |

tensor-flow-tutorials

<br/> <p align="center"> <img src="https://avatars0.githubusercontent.com/u/15658638?v=3&s=100"> </p> Additional TensorFlow tutorials:

• pkmital/tensorflow_tutorials
• nlintz/TensorFlow-Tutorials
• alrojo/tensorflow-tutorial
• BinRoot/TensorFlow-Book

| Notebook | Description | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | tsf-basics | Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. | | tsf-linear | Implement linear regression in TensorFlow. | | tsf-logistic | Implement logistic regression in TensorFlow. | | tsf-nn | Implement nearest neighboars in TensorFlow. | | tsf-alex | Implement AlexNet in TensorFlow. | | tsf-cnn | Implement convolutional neural networks in TensorFlow. | | tsf-mlp | Implement multilayer perceptrons in TensorFlow. | | tsf-rnn | Implement recurrent neural networks in TensorFlow. | | tsf-gpu | Learn about basic multi-GPU computation in TensorFlow. | | tsf-gviz | Learn about graph visualization in TensorFlow. | | tsf-lviz | Learn about loss visualization in TensorFlow. |

tensor-flow-exercises

| Notebook | Description | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | tsf-not-mnist | Learn simple data curation by creating a pickle with formatted datasets for training, development and testing in TensorFlow. | | tsf-fully-connected | Progressively train deeper and more accurate models using logistic regression and neural networks in TensorFlow. | | tsf-regularization | Explore regularization techniques by training fully connected networks to classify notMNIST characters in TensorFlow. | | tsf-convolutions | Create convolutional neural networks in TensorFlow. | | [ts