wangcj05 Goto Github PK

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

gooey

Turn (almost) any Python command line program into a full GUI application with one line

graph-pde

Using graph network to solve PDEs

grid-lstm-tensorflow

Examples of using GridLSTM (and GridRNN in general) in tensorflow

gym

A toolkit for developing and comparing reinforcement learning algorithms.

higherorderkme

hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyppo

hyppo package repository

identifying_causal_structure

ieee-phm-2012-data-challenge-dataset

Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute

ijcnn19ensemble

Deep Neural Network Ensembles for Time Series Classification

imcmc

Image Markov Chain Monte Carlo

impedance.py

A Python package for working with impedance data

imv_lstm

Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

interview

Everything you need to prepare for your technical interview

kameleon-mcmc

Code for Kernel Adaptive Metropolis-Hastings

keras

Deep Learning for humans

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

kernel_two_sample_test

A python implementation of the kernel two-samples test as in Gretton et al 2012 (JMLR).

knapsack

Python code to solve knapsack (integer optimization) problem using (1) dynamic programming and (2) branch and bound

knapsack-1

Knapsack problem - solver using combinations of dynamic programming/branch and bound

knapsack-2

Implementation of several algorithms for solving 1/0 knapsack problem

knime-core

KNIME Analytics Platform

knowledge-graphs

A collection of research on knowledge graphs

laplacesdemon

A complete environment for Bayesian inference within R

leetcodepython

Leetcode Practice in Python

lift

Learning Fault Trees from Observational Data

line_profiler

Line-by-line profiling for Python