jimmy-ksu Goto Github PK
Type: User
Type: User
15 minute (small) desktop apps built with PyQt
Lecture Notes for Upper Division Undergraduate Newtonian Dynamics Course
Python Active-subspaces Utility Library
Classical Aerodynamics of potential flow using Python, for Prof. Barba's course at GW (1st version:Spring 2014, 2nd run:2015).
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
A python library for visualizing Artificial Neural Networks (ANN)
A collection of notebook to learn the Applied Predictive Modeling using Python.
Applied Reactor Physics
A concurrent task-runner that automatically resolves dependency issues
Simple python example on how to use ARIMA models to analyze and predict time series.
Articles related to Neural Networks will be posted here.
Active Subspace Data Sets
Automated Machine Learning with scikit-learn
A curated list of awesome Machine Learning frameworks, libraries and software.
Awesome Mechanical Engineering Resources
A curated list of awesome python decorator resources.
A work in progress towards stacking all the data science, data management and machine learning training materials [in russian].
Assignments from Berkeley's stat157 Deep Learning course. This class provides a practical introduction to deep learning, including theoretical motivations and how to implement it in practice. As part of the course we will cover multilayer perceptrons, backpropagation, automatic differentiation, and stochastic gradient descent. Moreover, we introduce convolutional networks for image processing, starting from the simple LeNet to more recent architectures such as ResNet for highly accurate models. Secondly, we discuss sequence models and recurrent networks, such as LSTMs, GRU, and the attention mechanism. Throughout the course we emphasize efficient implementation, optimization and scalability, e.g. to multiple GPUs and to multiple machines. The goal of the course is to provide both a good understanding and good ability to build modern nonparametric estimators.
The uncompromising Python code formatter
Blind deconvolution using the idea from "Blind Deconvolution using Convex Programming", from Ali Ahmed, Benjamin Recht, and Justin Romberg
Interactive Web Plotting with Bokeh in IPython notebook
Predict concrete column dimensions with machine learning.
2nd Project for Self Driving Car ND Term 2 - UKF
Financial investment modeling and advanced engineering economics using Python
C/C++ source generation from an AST
Chaospy - Toolbox for performing uncertainty quantification.
chtMultiRegionSimpleFoam example with applied flux and solid sub cycles
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.