wangcj05 Goto Github PK

dateparser

python parser for human readable dates

deap

Distributed Evolutionary Algorithms in Python

deep-coref

deep-ensembles-uncertainty

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

deep-learning-for-indentation

Extraction of mechanical properties of materials through deep learning from instrumented indentation

deep-neural-network-ensembles-for-extreme-classification

Deep Neural Network Ensembles for Extreme Classification

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningexamples

Deep Learning Examples

deepsuperlearner

DeepSuperLearner - Python implementation of the deep ensemble algorithm

deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

deepxde

Deep learning library for solving differential equations

dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

distribution-discrepancies

Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence

dodiscover

[Experimental] Global causal discovery algorithms

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

doom-modeline

A fancy and fast mode-line inspired by minimalism design.

dragonfly

An open source python library for scalable Bayesian optimisation.

dvc

🦉Data Version Control | Git for Data & Models | ML Experiments Management

ecs

Pythonic package development tutorial put together for the electrochemical society hackweek, Spring 2018

edge

EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning

electrodep

MOOSE Application for simulation of electrodeposition in Li-ion batteries

ennemi

Easy Nearest Neighbor Estimation of Mutual Information

ensemble-time-series

Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) layer and trained using Genetic Algorithms

example-causal-datasets

Example causal datasets with consistent formatting and ground truth

fate

An Industrial Grade Federated Learning Framework

faulttriggering

Library for fault Modelling in Modelica

fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

following-motif-relation

Given two time series, with one containing a motif that leads the motif pattern in the other, our goal is to identify which time series leads or follows, and to predict the motif-following time steps in both series.