aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Public facing notes page

A scikit-learn compatible neural network library that wraps PyTorch

Efficient Image Captioning code in Torch, runs on GPU

Language-Agnostic SEntence Representations

Implementing a Neural Network from Scratch

IPython kernel for Torch with visualization and plotting

LSTM trained on the first five ASOIAF/GOT books

Introduction to Statistics using Python

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

Time series classification and clustering code written in Python.

A series of machine learning tutorials for Torch7

Codes for Kaggle Competitions

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

Sequence-to-Sequence Framework in PyTorch

Codes related to various ML Hackathons