spandyie Goto Github PK
Name: Spandan Mishra
Type: User
Company: Palo Alto Networks
Bio: PhD/ Data Scientist/ Algorithm Engineer/ Rock Climber / Aspiring Alpinist
Twitter: spandyie
Location: San Francisco
Name: Spandan Mishra
Type: User
Company: Palo Alto Networks
Bio: PhD/ Data Scientist/ Algorithm Engineer/ Rock Climber / Aspiring Alpinist
Twitter: spandyie
Location: San Francisco
This is where I put all my work in Natural Language Processing
YSDA course in Natural Language Processing
Implementing a Neural Network from Scratch
The Open Exoplanet Catalogue
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Udacity Self-Driving Car Engineer Nanodegree. Project: Kidnapped Vehicle
This project uses Particlefilter (Sequential Monte-Carlo Method) to estimate the remaining life of the structure based on Parish-Erdogan Law
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
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.)
A course in reinforcement learning in the wild
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 ;)
Dequeue. A double-ended queue or deque (pronounced βdeckβ) 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) }
Curated list of project-based tutorials
[HELP REQUESTED] Generalized Additive Models in Python
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Simple examples to introduce PyTorch
PyTorch Tutorial for Deep Learning Researchers
PyTorch tutorial for PyData Berlin
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
System administration scripts.
Single layer neural network using backpropagation algorithm
Design drawing of the software
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.
Computation using data flow graphs for scalable machine learning
Notebook for my medium article about how to use Dataset API in TensorFlow
TensorFlow Tutorial and Examples for beginners
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.