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Name: kArAn
Type: User
Bio: Data Scientist
Location: San Francisco Bay Area
Name: kArAn
Type: User
Bio: Data Scientist
Location: San Francisco Bay Area
A library of RL tools
This repo contains project for Automatic Cartography from Remote Sensing datasets
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of deep learning resources for computer vision
Big Data, MapReduce, Spark, PySpark, Java @ Santa Clara University, SPRING 2017
Caffe: a fast open framework for deep learning.
This is a simple Imbalanced dataset handling problem where I have used Census Data
This repo uses Collaborative filtering for Music recommendation (User-based and content-based)
Collection of personal data science projects
Deep networks for Earth Observation
This repo is a collection of examples of almost all Dimensionality Reduction techniques currently used. Codes are in Python and R. (Working on it. Stay tuned.)
Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Faster RCNN with PyTorch
This repo contains some games I have written. I will upload many more games where I have used Deep Learning.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Lightweight library to build and train neural networks in Theano
This is an implementation of Topic Modelling using Latent Dirichlet Allocation with collapsed Gibbs Sampling
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This is a simple implementation of Markov chains to predict Stock Market Behaviour
Mastering Probability and Statistics in Python, published by Packt
This repo contains some of of my work in NLP using Deep Leaning. I am also adding all (nearly) awesome stuff in DeepNLP out there. Enjoy!!!
TensorFlow Neural Machine Translation Tutorial
Compilation of pre-trained deep learning models with demos and code.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Building Recommendation systems using Singular Value Decomposition (SVD), knn Algorithm, Collaborative filtering, etc
This repo is a Simple Regression analysis in R for the Competition on Kaggle - World Happiness Index
Recursive Neural Tensor Network -- numpy-only version
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.