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Name: Artificial Intelligence Laboratory
Type: Organization
Bio: This repository contains all the best forked repositories that covers AI
Name: Artificial Intelligence Laboratory
Type: Organization
Bio: This repository contains all the best forked repositories that covers AI
100 Days of ML Coding
Roadmap to becoming an Artificial Intelligence Expert in 2020
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of awesome Machine Learning frameworks, libraries and software.
Awesome free machine learning and AI courses with video lectures.
A curated list of references for MLOps
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
bamboolib - a GUI for pandas dataframes. Stop googling pandas commands
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
A high performance and general PS framework for distributed training
Official Matplotlib cheat sheets
Course Files for Complete Python 3 Bootcamp Course on Udemy
The Data Engineering Cookbook
A Code-First Introduction to NLP course
The 3rd edition of course.fast.ai
Dask tutorial
Roadmap to becoming a data engineer in 2020
:bar_chart: Path to a free self-taught education in Data Science!
Cheat Sheets
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
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 machine learning resources that I've found helpful (I only post what I've read!)
Toturial coming with "data science roadmap" graphe.
Curated list of Python resources for data science.
🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
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.