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

Hi - Thanks for dropping by! I will be updating this tutorials site on a daily basis 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.

NOTE: All these tutorials are supported and accelerated on NVIDIA GPUs 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. Finally, it is YOUR help I will seek to make it more useful and less boring, so please do suggest/comment/contribute!

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

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

• MNIST Example, running with Dlang

pytorch-tutorials

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

• 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

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.
tsf-word2vec	Train a skip-gram model over Text8 data in TensorFlow.
tsf-lstm	Train a LSTM character model over Text8 data in TensorFlow.

theano-tutorials

Notebook	Description
theano-intro	Intro to Theano, which allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
theano-scan	Learn scans, a mechanism to perform loops in a Theano graph.
theano-logistic	Implement logistic regression in Theano.
theano-rnn	Implement recurrent neural networks in Theano.
[theano-mlp](http://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorial