raghav3112 Goto Github PK
Type: User
Type: User
A curated list of data science blogs
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A Collection of Data Science/ML Projects
A repo for data science related questions and answers
Data Structures and Algorithms in Python
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Data Science Learning Resources
Open Source Data Science Resources.
The Leek group guide to data sharing
Repo for the Deep Learning Nanodegree Foundations program.
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Keras code and weights files for popular deep learning models.
This repository is specially created for all by work in the 5 courses of the DL specialization offered by Coursera
Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.
various publications and readings
Deep Clustering for Unsupervised Learning of Visual Features
A collection of various deep learning architectures, models, and tips
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Deep Learning Tutorial notes and code. See the wiki for more info.
Instructions to build a Kubernetes control plane one piece at a time, for learning purposes.
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
Code samples from the DevOps Directive YouTube channel
:art: Diagram as Code for prototyping cloud system architectures
Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
Notebooks for learning deep learning
Kubernetes DNS service
Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
User documentation for Knative components.
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.