abhi-rf Goto Github PK
Name: Abhishek Saroha
Type: User
Name: Abhishek Saroha
Type: User
Implementation for the paper "A Novel Strategy for Link Prediction in Social Networks" ( https://pdfs.semanticscholar.org/4d14/8e9fbbcb54a490a9d6c438069c9a99a91509.pdf )
Contains basic state space search techniques implemented in Python.
Contains code for basic MNIST Character recognition using CNN and Keras.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Cloth simulation using co-rotational linear elasticity
***INCOMPLETE*** I am trying to implement a gold price prediction network using CNNs. The accuracy is very low at the moment and I am working towards improving that figure.
Implementation of the Paper "An efficient method for link prediction in weighted multiplex networks"
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Finding similar reviews from the dataset using cosine similarity.
I have tried to implement a RFM Model from the given dataset of transactions.
Generative Adversarial Networks and Autoencoders for 3D Shapes
This Alexa Skills Kit sample skill shows how to build a simple skill called Cake Time that counts down the number of days until the customer's birthday.
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
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.