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Name: Edward Praveen
Type: User
Bio: Fraud Analytics | Machine Learning Enthusiast | Data Guy
Location: Chennai
Name: Edward Praveen
Type: User
Bio: Fraud Analytics | Machine Learning Enthusiast | Data Guy
Location: Chennai
✅ Curated list of resources for college students
Yet Another Dev Blog
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
SageMaker Course Material
Artificial Intelligence with Python Second Edition, published by Packt
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
:bar_chart: Path to a free self-taught education in Data Science!
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.
Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
Open Source Data Science Resources.
Machine learning datasets used in tutorials on MachineLearningMastery.com
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
Contains files related to content and project of DSND
Draft of the fastai book
Creating a Machine Learning API using Flask - Repository for AV Article
Free resources for learning data science
The Open Source Data Science Masters
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
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.