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Name: Nitish Bhardwaj
Type: User
Bio: Deep Learning explorer, ML enthusiast, Research Lead
Location: Bangalore, India
Blog: https://scholar.google.com/citations?user=PAn8X0QAAAAJ&hl=en
Name: Nitish Bhardwaj
Type: User
Bio: Deep Learning explorer, ML enthusiast, Research Lead
Location: Bangalore, India
Blog: https://scholar.google.com/citations?user=PAn8X0QAAAAJ&hl=en
Feature Extraction using Image Data
AGT is about the programs related to "Advanced Graph Theory" concepts.
This project contains tutorials for Applied Deep Learning.
a short introduction to node.js
Collection of 3D deep-learning/machine learning materials
A repository to curate and summarise research papers related to fashion and e-commerce
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.
Coding Practice problems from different portals
Stanford CoreNLP: A Java suite of Core NLP tools
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
It contains my programming assignments that I solved while doing Coursera's online courses "Principles of Computing" and "Machine Learning".
Deconvnet example based on Keras
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
This repository contains examples of using deeplearning4j with Spark ML.
This project is inspired by ONXX. It contains implementation of python codes to support re-usability of trained models across different Deep Learning frameworks as Keras, Tensoflow, Pytorch and Theano.
Some experiments done on Deep Learning research papers
Deep Learning tutorials with examples using Keras
Instructions for setting up the software on your deep learning machine
Web application using MEAN
Designing generative structures by interactive sketching
Caffe Model to detect Gender
A collection of useful .gitignore templates
https://code.google.com/p/graphchi/
Some early access to Clarifai APIs
hadoop-tutorials
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.