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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
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Repository for Princeton's Algorithms Class
Exploratory analysis of Bayesian models with Python
Genetic Algorithm library based on Mordern C++
A curated list of awesome places to learn and/or practice algorithms.
A curated list of delightful Bash scripts and resources.
:books: List of awesome university courses for learning Computer Science!
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of references for MLOps
A curated list of awesome Python frameworks, libraries, software and resources
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of papers and code about very deep neural networks
In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. When the regression model has errors that have a normal distribution, and if a particular form of prior distribution is assumed, explicit results are available for the posterior probability distributions of the model's parameters.
We will cretae a L-Deep Neural Network to read traffic Signals
3-SUM in quadratic time. Design an algorithm for the 3-SUM problem that takes time proportional to n2 in the worst case. You may assume that you can sort the n integers in time proportional to n2 or better.
Caffe models in TensorFlow
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
Vehicle detection using YOLO in Keras runs at 21FPS
An R package for causal inference in time series
Essential Cheat Sheets for deep learning and machine learning researchers
Fine-tune CNN in Keras
ALCF Concept to Clinic Challenge
An NLP workshop about concrete solutions to real problems
Historic and current US Congressional districts as GeoJSON, versioned within Git
Learn the GitHub workflow by contributing code in a fun simulation project
Collaborative Collection of C++ Best Practices
Parse the stock data of S&P500 companies and display it on a streamlit webapp
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.