sandipank Goto Github PK
Name: Sandipan Karmakar
Type: User
Company: XIM Bhubaneswar
Location: India
Blog: https://hibiscus.xub.edu.in/Hibiscus/Pub/faccvDet.php?client=xu&facid=XF412
Name: Sandipan Karmakar
Type: User
Company: XIM Bhubaneswar
Location: India
Blog: https://hibiscus.xub.edu.in/Hibiscus/Pub/faccvDet.php?client=xu&facid=XF412
Efficiently computes derivatives of numpy code.
A curated list of awesome Machine Learning frameworks, libraries and software.
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Sandipan Karmakar's Webpage
Resources for STA 633 class
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
Data Science Using Python
A list of conferences connected with data worldwide.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A collection of various deep learning architectures, models, and tips
ggplot for python
Insurance cost predictor
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
:globe_with_meridians: Jekyll is a blog-aware, static site generator in Ruby
Jupyter notebooks for the Julia Scientific Programming course on Coursera
Contains a class that fits logistic regression parameters via a modified Metropolis-Hastings algorithm.
Codes from Coursera's course Machine Learning - classification, part of machine learning specialization offered by University of Washington
Codes from Coursera's course Machine Learning - clustering, part of machine learning specialization offered by University of Washington
Codes from Coursera's course Machine Learning - foundation, part of machine learning specialization offered by University of Washington
Codes from Coursera's course Machine Learning - regression, part of machine learning specialization offered by University of Washington
mlr: Machine Learning in R
Programming assignment given in course 'Neural Networks for machine learning' taught by Prof. Geoffrey Hinton, University of Toronto.
Collection of jupyter notebooks for demonstrating software.
Pattern recognition and machine learning toolbox
Python implementation of the famous PRML book by C M Bishop
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 ;)
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
The "Python Machine Learning (2nd edition)" book code repository and info resource
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.