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Name: Hassan EL Morra
Type: User
Company: Ryatek
Location: Toronto
Name: Hassan EL Morra
Type: User
Company: Ryatek
Location: Toronto
A day to day plan for this challenge. Covers both theoritical and practical aspects
Chef cookbook for Anaconda
Anomaly detection related books, papers, videos, and toolboxes
Learn applied deep learning from zero to deployment using TensorFlow 1.8+
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! 😀)
:sunglasses: Curated list of awesome lists
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
A curated list of awesome Python frameworks, libraries, software and resources
Reinforcement learning resources curated
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.
Deep Learning 101 with PaddlePaddle
A complete computer science study plan to become a software engineer.
Sample code for the Cisco DevNet Coding Skills Learning Labs
Course Files for Complete Python 3 Bootcamp Course on Udemy
build and test recipes for conda
Task scheduling and blocked algorithms for parallel processing
Data Analysis and Exploration with Pandas, published by Packt
Cheat Sheets
Data Science at the Command Line
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.
This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
A collection of datasets ready to use with TensorFlow
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.