JIMMY-KSU's repositories
Python-programming-exercises
100+ Python challenging programming exercises
tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
auto-sklearn
Automated Machine Learning with scikit-learn
berkeley-stat-157-deep-learning
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.
chaospy
Chaospy - Toolbox for performing uncertainty quantification.
d3s
Data-driven dynamical systems toolbox.
Deep----Koopman
An implementation of "deep Koopman" method in Keras/Tensorflow
docs
TensorFlow documentation
DOE_module
This is module to call multiple library (currently pyDOE, diversipy) to create a latin hyper cube sampling method. This module also provides features on manipulating LHS and helpful functions for usage. Some of the usage include, apply customize probability for each variable, adding new points to existing LHS matrix, measuring distance and correlation between variables, plotting and visualization matrix.
fbs
Create Python GUIs with Qt in minutes
flowpoints_ml
An intuitive approach to creating deep learning models
Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
Glomium
GitKraken Glo Chrome extension
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
me400_notes
Online course notes for ME 400 based on Sphinx and Jupyter notebooks.
NN-SVG
Publication-ready NN-architecture schematics.
openturns
Uncertainty treatment library
Plotly-plots
IPython notebooks for Plotly plots
PlotNeuralNet
Latex code for making neural networks diagrams
pyomo
The main repository for the Pyomo optimization modeling software.
PyPSA
PyPSA: Python for Power System Analysis
python-patterns
A collection of design patterns/idioms in Python
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
ritchievink.com
hugo static site
spectralDNS
Spectral Navier Stokes (and similar) solvers in Python
unfolding_workshop
CORPS-G Unfolding Workshop 3/22/19
urbs
A linear optimisation model for distributed energy systems
weight_uncertainty
Implementing Bayes by Backprop