shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
A collection of research and application papers about Strategy, Match, Targeting and Creatives in Internet advertising.
Fit interpretable models. Explain blackbox machine learning.
Book about interpretable machine learning
Trying to create the list of papers for understanding the workings behind the deep/machine learning models
Coding/technical interview guide: data structures, algorithms, complexity analyses, interview questions
Experimental code for recognizing student's intrinsic motivation using facial features
Code for the paper "Self-Supervised Intrinsic Image Decomposition"
Spring 2018 workshop with ACM and AAAI
Introduction to Neural Networks with Keras, O'Reilly Artificial Intelligence Conference 2017, Tutorial
Introduction to Statistics using Python
Notebooks and code for the book "Introduction to Machine Learning with Python"
Introducing neural networks to predict stock prices
IINVASE: Instance-wise Variable Selection using Neural Networks - 2019 ICLR
Experiments in supply chain optimization
Algorithms Library for Supply Chain Inventory Optimization
Recipe Generation from Food Images
Official Code for Invertible Residual Networks
Invert a pre-trained GAN model (includes code for training a GAN on celebA)
Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)
Investment Portfolio Dashboard
Financial Data Extraction from Investing.com with Python
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
Used Monte-Carlo Technique In Reinforcement Leaning to optimize electricity consumption and cooling demands for home.
This is the code for "How to Buy IOTA" on Youtube by Siraj Raval
Simple academic project made using OpenCV and Tesseract. The aim of these project is to read flyers of job offer and extract the text.
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.
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.