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a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction

abides

ABIDES: Agent-Based Interactive Discrete Event Simulation

academic-website-template

Jekyll website template for personal academic or research group web pages.

adaptmcmc

R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).

adaptsaw

SARDONICS and Adaptive MCMC

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ai-couplet

use an AI model to write couplet with TensorFlow 2 / 用AI对对联

ai-projects

Artificial Intelligence projects, documentation and code.

algorithm

ml & dl & kaggle

allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

ann

Artificial Neural Network MatLab implementation

arch

ARCH models in Python

attention

some attention implements

attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

attention_keras

Keras Layer implementation of Attention for Sequential models

audacity

Audio Editor

awesome-deep-learning-based-time-series-forecasting

awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

backtesttoolbox

A toolbox of Matlab files used to conduct backtesting of Value-at-Risk. The toolbox includes most existing backtests, options for boostrapping as well as a manual and codes for examining power and size of different tests.

bagging-lstm

Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM

bayesgarch

Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations

bayesianlstm

Bayesian LSTM Implementation in PyTorch

bert4keras

keras implement of transformers for humans

caviar-project

Measure market risk by CAViaR model

copulae

Multivariate data modelling with Copulas in Python

copulas

A library to model multivariate data using copulas.

coursera-deep-learning-deeplearning.ai

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

coursera-dl-study-notes

从0学习深度学习课程，跟随Andrew Ng的Coursera课程，课后根据记忆用python代码实现课程作业

covar-conditional-var-project

Replication and extension of paper on Conditional Value at Risk (CoVaR) by Adrian and Brunnermeier.