divyanshk Goto Github PK
Name: Divyansh Khanna
Type: User
Bio: ML Engineer
Location: Menlo Park
Name: Divyansh Khanna
Type: User
Bio: ML Engineer
Location: Menlo Park
An LSTM based adversarial encoder-decoder model.
Solutions for interview problems solved on Leetcode
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
Reinforcement learning resources curated
An implementation of Raft with BFT functionality
a music playlist for ComputerGeeks :p
A series of blog posts on convolutional neural networks and their generalizations.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
My website
Fully convolutional networks for semantic segmentation
Scala solutions to Project Euler questions on Hackerrank.
Notes on Haskell stuff
Notes to self
mlpack: a scalable C++ machine learning library
The repo holds the reference materials and code for review/survey on Optimal Transport
Short takeaways from papers I read
An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.
Exercises for my tutorials on Theano
Trie datastructure written in Go
A dark vim color scheme for 256-color terminals. Not maintained as I've switched to emacs. Emacs version available at https://github.com/Lokaltog/distinguished-theme.
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.