sangkyunjo Goto Github PK

ad_attbayeslstm

bayes-by-backprop

" Weight Uncertainty in Neural Networks"

bayesian-deep-learning

Notes and codes of the topic "Bayesian deep learning"

berkeley-deep-rl-pytorch-solutions

Pytorch solutions for UC Berkeley's cs285 assignments

citizendev_htmlcss

cs285-homework

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

ctcmodel

Easy-to-use Connectionnist Temporal Classification in Keras

deep-learning-time-series

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

es-rnn-pytorch

This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition

esrnn-gpu

PyTorch GPU implementation of the ES-RNN model for time series forecasting

hybrid-ar-lstm-model-for-prediction-of-birth

Although ARIMA, AR essentially for linear update models plus some noise thrown in and LSTM essentially for a nonlinear time series model are well known in the literature we have applied them in the data. Based on the fact that the LSTM outperforms the AR then the AR outperform the ARIMA according to their results, we have came with an idea of combining the two best models AR and LSTM in single architecture that that will take advantage of the two models and capture linear and nonlinear phenomena because it has both linear and nonlinear modeling capabilities.

hybrid-arima-lstm-model

A financial model to forecast next day SPY closing prices

interpretableai

Interpretable AI with Safeguard AI (paper study, implement-code review)

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

kospeech

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

neural_cf

neural collaborative filtering tensorflow 2.0

neural_collaborative_filtering

Neural Collaborative Filtering

reinforcement-learning-for-sca

retain-keras

Reimplementation of RETAIN Recurrent Neural Network in Keras

temporal-fusion-transformer

temporal_fusion_transform

Pytorch Implementation of Google's TFT

tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

time-series-autoencoder

:chart_with_upwards_trend: PyTorch dual-attention LSTM-autoencoder for multivariate Time Series :chart_with_upwards_trend:

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transformer_timeseries

Pytorch code for Google's Temporal Fusion Transformer

ua