Santara/ML-MOOC-NPTEL

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Santara/ML-MOOC-NPTEL

Santara

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This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

ML-MOOC-NPTEL

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

Pro Tip:

Thanks to Google, you can run these notebooks directly on Google Colaboratory using CPU/GPU/TPU runtimes by replacing https://github.com in the URL by https://colab.research.google.com/github/. No local installation of Python is required. Best part - its FREE!! More detailed instructions are avilable at this link. Enjoy!

PS:

I wrote this repository in 2016. It's great to see people finding this useful even in 2019!! Please consider hitting the Star button at the top right hand side of the window if you liked my work. Thank you for your support!

stochastic_value_gradient

Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]

Jupyter Notebook

RAIL

Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018

deeptesla

End-to-End Learning from Tesla Autopilot Driving Data

e2e_ASR_Lasagne_CTC

This is IIT Kharagpur's end to end deep learnt speech recognition system

anirban-imitation

Extension of (Generative Adversarial Imitation Learning)[https://arxiv.org/abs/1606.03476]

DeepUserModelling

Deep learnt user model for scientific paper recommendation

IEEE_DL_Workshop_2016

Codes for Workshop on Deep Learning organised by IEEE Student Branch, IIT Kharagpur on 1st Oct. 2016.

LandcoverClassification_BaselineEvaluation

Implementation of recent papers on hyperspectral image classification for identification of the type of land-cover

Jupyter Notebook