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Material for the Course on Advanced Probabilistic ML and Applications
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
DataCamp data-science courses
A repository that contains courses I have taken on DataCamp
A repository for examples and extensions of what I learn from the classes.
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
Source Code for FINCH Clustering Algorithm
:books: Freely available programming books
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Project 5 AFM 2018 Demo - Modular Interpretability Interface
Explaining the unique nature of individual gait patterns with deep learning
Book about interpretable machine learning
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
Learn OpenCV : C++ and Python Examples
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Magenta: Music and Art Generation with Machine Intelligence
MCW Intelligent analytics
Companion webpage to the book "Mathematics For Machine Learning"
Pandorabots API module for Python
Matlab code for machine learning algorithms in book PRML
A boilerplate for writing PySpark Jobs
Example project implementing best practices for PySpark ETL jobs and applications.
Learn Spark using Python, Video - >
Python - 100天从新手到大师
PyTorch Tutorial for Deep Learning Researchers
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
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.