mshisheh Goto Github PK
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Applied Deep Learning
A collection of notebook to learn the Applied Predictive Modeling using Python.
Bayesian Analysis with Python (Second Edition)
Solutions to "A First Course in Bayesian Statistical Methods" Peter D. Hoff
PyMC3 educational resources
Materials for the tutorial on Gaussian Processes and Bayesian Optimization
A tutorial in gpflow in notebook form, compiled from gpflow examples.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Coursera Deep Learning Course 4
My Material and Submissions from Coursera Deep Learning.AI
Data Cleaning Libraries with Python
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.
Created the contents of this repo originally for a workshop I gave at UCLA
Code repository for Deep Learning with Keras published by Packt
Seminars DeepBayes Summer School 2018
Deep Learning application to the partial differential equations
Code for the online course "Deployment of Machine Learning Models"
Implementing a Gaussian Process regression model from scratch
An Intuitive Tutorial to Gaussian Processes Regression
Python3 project applying Gaussian process regression for forecasting stock trends
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
Collection of jupyter notebooks for demonstrating software.
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.