Experimental and exercising codes
☆22Sep 2, 2018Updated 7 years ago
Alternatives and similar repositories for deepdirtycodes
Users that are interested in deepdirtycodes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This paper have been presented in the form of an oral presentation at the IJCNN-2019 conference. The title is "Transformation-gated LSTM…☆30Apr 26, 2020Updated 6 years ago
- Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…☆30Oct 30, 2019Updated 6 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆40Feb 24, 2019Updated 7 years ago
- A Python based implementation of swap curve bootstrapping using a multi-dimensional solver.☆11Aug 17, 2025Updated 9 months ago
- The code and data of the paper "PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction"☆24Nov 20, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This project is a Python demonstrator for the stochastic grid bundling method (SGBM) to solve backward stochastic differential equations …☆12Nov 19, 2018Updated 7 years ago
- A research project to study the gamma exposure of market-makers in Bitcoin option markets.☆16Sep 12, 2020Updated 5 years ago
- Using spaCy and NLTK along with a Bag of Words approach, this repo automates the process of combing through FOMC minutes transcripts to d…☆12Feb 11, 2021Updated 5 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆58Dec 30, 2022Updated 3 years ago
- Time series prediction using dilated causal convolutional neural nets (temporal CNN)☆240Jun 19, 2022Updated 3 years ago
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…☆18Feb 16, 2021Updated 5 years ago
- ☆13Jun 9, 2023Updated 3 years ago
- A Python library implementing Bayesian methods for solving estimation and forecasting problems in time series analysis☆21Mar 19, 2017Updated 9 years ago
- This repository contains the code to generate results from the paper "Artificial Neural Networks to solve dynamic programming problems: a…☆10May 24, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for solving HANK models in continuous time in Python using numba and UMFPACK☆13Feb 19, 2020Updated 6 years ago
- Conditional time series forecasting with convolutional neural networks☆12Jan 3, 2021Updated 5 years ago
- The MedDataSets package provides a comprehensive collection of datasets related to medicine, diseases, treatments, drugs, and public heal…☆14Oct 24, 2024Updated last year
- An xVA quantitative library written in python using tensorflow☆19Updated this week
- timeseriesdatasets R Package - A collection of time series data sets for the R programming language☆12Sep 13, 2024Updated last year
- Multivariate Time Series Forecasting with LSTMs in Keras☆11Nov 13, 2017Updated 8 years ago
- 基于DeepConvLSTM的传感器信号分类☆11May 15, 2018Updated 8 years ago
- Matlab codes about EKF,AEKF,HIF and PF to estimate the SoC of the battery cell☆21Apr 16, 2024Updated 2 years ago
- Battey Management System☆10Dec 14, 2014Updated 11 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- This repository contains the sample code to benchmark popular time series forecast algorithms using Gluonts in AWS Sagemaker Notebook Ins…☆13Jul 26, 2021Updated 4 years ago
- Vector Autoregressive models in Python☆11Jun 6, 2018Updated 8 years ago
- A comparison of some conformal quantile regression methods.☆12Sep 14, 2019Updated 6 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Mar 20, 2019Updated 7 years ago
- ☆29Nov 23, 2019Updated 6 years ago
- Repository containing vintages of oil supply news shock data☆14Updated this week
- Economic models and things in Pytorch☆22Nov 30, 2017Updated 8 years ago
- Out-Of-Sample Time Series Forecasting: OOS introduces a comprehensive framework for time series forecasting with traditional econometric …☆11Mar 30, 2021Updated 5 years ago
- An echo state network (ESN) for video prediction☆11Apr 29, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras☆55Aug 8, 2019Updated 6 years ago
- Codes for Multi-Level Construal Neural Network framework☆48Oct 18, 2020Updated 5 years ago
- Use Bert-CNN-Capsule for text classification☆10May 20, 2019Updated 7 years ago
- ☆17Jul 22, 2021Updated 4 years ago
- Github page for the paper "Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive mod…☆11Oct 23, 2020Updated 5 years ago
- PART I DeepAR implementation based on paper: https://arxiv.org/pdf/1704.04110.pdf☆10Jun 20, 2019Updated 6 years ago
- Vector Autoregression augmented with deep learning.☆17Jan 17, 2024Updated 2 years ago