pengfight Goto Github PK

-

100-days-of-ml-code

100 Days of ML Coding

18s096sciml

18.S096 - Applications of Scientific Machine Learning

anonymous

anonymous-

anonymous1

anonymous_file

anonymous_files

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

awesome-time-series

bayesian-data-selection

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

challenge2012

Python code parsing data from PhysioNet Challenge 2012

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

dataset

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-trading

Algorithmic trading with deep learning experiments

deep_learning_prediction_intervals

ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

deeplearningcoursecodes

Notes, Codes, and Tutorials for the Deep Learning Course I taught at ChinaHadoop

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

dul-pytorch

[2020-CVPR]Data Uncertainty Learning in Face Recognition

exbotrover

Exbot Rover

first_test

first_test1

测试

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

github-mathjax

Chrome extension for rendering LaTeX equations in GitHub with MathJax

gpflow

Gaussian processes in TensorFlow