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nlp

This is where I put all my work in Natural Language Processing

nlp_course

YSDA course in Natural Language Processing

nn-from-scratch

Implementing a Neural Network from Scratch

open_exoplanet_catalogue

The Open Exoplanet Catalogue

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

particle-filter

Udacity Self-Driving Car Engineer Nanodegree. Project: Kidnapped Vehicle

particlefilter

This project uses Particlefilter (Sequential Monte-Carlo Method) to estimate the remaining life of the structure based on Parish-Erdogan Law

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

percolation

We model a percolation system using an n-by-n grid of sites. Each site is either open or blocked. A full site is an open site that can be connected to an open site in the top row via a chain of neighboring (left, right, up, down) open sites. We say the system percolates if there is a full site in the bottom row. In other words, a system percolates if we fill all open sites connected to the top row and that process fills some open site on the bottom row. (For the insulating/metallic materials example, the open sites correspond to metallic materials, so that a system that percolates has a metallic path from top to bottom, with full sites conducting. For the porous substance example, the open sites correspond to empty space through which water might flow, so that a system that percolates lets water fill open sites, flowing from top to bottom.)

practical_rl

A course in reinforcement learning in the wild

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

programming-assignmentdeques-and-randomized-queues

Dequeue. A double-ended queue or deque (pronounced “deck”) is a generalization of a stack and a queue that supports adding and removing items from either the front or the back of the data structure. Create a generic data type Deque that implements the following API: public class Deque<Item> implements Iterable<Item> { public Deque() // construct an empty deque public boolean isEmpty() // is the deque empty? public int size() // return the number of items on the deque public void addFirst(Item item) // add the item to the front public void addLast(Item item) // add the item to the end public Item removeFirst() // remove and return the item from the front public Item removeLast() // remove and return the item from the end public Iterator<Item> iterator() // return an iterator over items in order from front to end public static void main(String[] args) // unit testing (optional) }

project-based-learning

Curated list of project-based tutorials

pygam

[HELP REQUESTED] Generalized Additive Models in Python

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pytorch-examples

Simple examples to introduce PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_tutorial

PyTorch tutorial for PyData Berlin

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rprogdatascience

scripts

System administration scripts.

single-layer-perceptron

Single layer neural network using backpropagation algorithm

softwaredesigndrawing

Design drawing of the software

spandanmishra.github.io

sparse-autoencoder

stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-dataset-tutorial

Notebook for my medium article about how to use Dataset API in TensorFlow

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.