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Name: neel mani
Type: User
Location: Bangalore, India
Name: neel mani
Type: User
Location: Bangalore, India
Artificial Neural Networks in Python
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of cheat-sheet that saves a lot of your time for a better things.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Implementation of character based convolutional neural network
This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
fast.ai Courses
Notebook - D2L.ai
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
Programming with Python for Data Science Microsoft
General Assembly's Data Science course in Washington, DC
A repository of real-world data challenges faced by organizations used for project-based learning
code for Data Science From Scratch book
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
R's data.table package extends data.frame. More info:
The Leek group guide to data sharing
Repo for the Deep Learning Nanodegree Foundations program.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
TensorFlow Basic Tutorial Labs
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Plotting Assignment 1 for Exploratory Data Analysis
fast.ai - Part1
This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.
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.