diyano Goto Github PK

deep-ensembles-uncertainty

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

deep-learning-notes

Experiments with Deep Learning

deep_flow_control

Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018

deepkoopman

neural networks to learn Koopman eigenfunctions

deepkoopmanwithcontrol

Soure code for Deep Koopman with Control

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningtutorials

Deep Learning与PyTorch入门实战视频教程

deepmpc

Deep Model Predictive Control

deeptime

Deep learning meets molecular dynamics.

differentiable-mpc

dmd

Python implementation of Dynamic Mode Decomposition (DMD) and Multi-Resolution Dynamic Mode Decomposition (mrDMD) algorithms

dpns

Dual Path Networks

ee227c.github.io

EE227C (Spring 2018) Course page

esgrn

Evolutionary State Graph Recurrent Networks for Time Series Modeling

eurace_unibi

This is the repository for the source code of the Eurace@Unibi Model

fastai

The fastai deep learning library, plus lessons and tutorials

featuretools

An open source python framework for automated feature engineering

gc

Suite of tests for network inference methods such as Granger causality

gcn

Implementation of Graph Convolutional Networks in TensorFlow

github

github2

graphsage

Representation learning on large graphs using stochastic graph convolutions.

gsoc17-hhmm

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

handful-of-trials-pytorch

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

harmonica

Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.

hodmd

HODMD algorithm from Le Clainche & Vega, SIAM J. on Appl. Dyn. Sys. 16(2), 882-925, 2017

homework

Assignments for CS294-112.

housing-model

Agent-based model of the UK housing market.

hpbandster

a distributed Hyperband implementation on Steroids