LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Last update: Jan 02, 2023

Overview

LSTM Neural Network for Time Series Prediction

LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wave and stock market data.

Full article write-up for this code

Video on the workings and usage of LSTMs and run-through of this code

Requirements

Install requirements.txt file to make sure correct versions of libraries are being used.

Python 3.5.x
TensorFlow 1.10.0
Numpy 1.15.0
Keras 2.2.2
Matplotlib 2.2.2

Output for sine wave sequential prediction:

Output for stock market multi-dimensional multi-sequential predictions:

Owner

Jakob Aungiers

Head of Systematic Market Making at a global HFT firm // Expert Adviser & Consultant in AI // Skydiver // Surfer // Adventurer

GitHub Repository

Active Offline Policy Selection With Python

Active Offline Policy Selection This is supporting example code for NeurIPS 2021 paper Active Offline Policy Selection by Ksenia Konyushkova*, Yutian

27 Oct 15, 2022

Probabilistic Cross-Modal Embedding (PCME) CVPR 2021

Probabilistic Cross-Modal Embedding (PCME) CVPR 2021 Official Pytorch implementation of PCME | Paper Sanghyuk Chun1 Seong Joon Oh1 Rafael Sampaio de R

87 Dec 21, 2022

For medical image segmentation

LeViT_UNet For medical image segmentation Our model is based on LeViT (https://github.com/facebookresearch/LeViT). You'd better gitclone its codes. Th

13 Dec 24, 2022

Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.

PS-SC GAN This repository contains the main code for training a PS-SC GAN (a GAN implemented with the Perceptual Simplicity and Spatial Constriction c

40 Dec 16, 2022

Mesh Graphormer is a new transformer-based method for human pose and mesh reconsruction from an input image

MeshGraphormer ✨ ✨ This is our research code of Mesh Graphormer. Mesh Graphormer is a new transformer-based method for human pose and mesh reconsructi

251 Jan 08, 2023

Auto-updating data to assist in investment to NEPSE

Symbol Ratios Summary Sector LTP Undervalued Bonus % MEGA Strong Commercial Banks 368 5 10 JBBL Strong Development Banks 568 5 10 SIFC Strong Finance

16 Nov 01, 2022

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

MUST-GAN Code | paper The Pytorch implementation of our CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generat

46 Dec 26, 2022

Video-based open-world segmentation

UVO_Challenge Team Alpes_runner Solutions This is an official repo for our UVO Challenge solutions for Image/Video-based open-world segmentation. Our

84 Dec 22, 2022

Source code for the paper: Variance-Aware Machine Translation Test Sets (NeurIPS 2021 Datasets and Benchmarks Track)

Variance-Aware-MT-Test-Sets Variance-Aware Machine Translation Test Sets License See LICENSE. We follow the data licensing plan as the same as the WMT

5 Dec 21, 2021

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Semantic Segmentation on MIT ADE20K dataset in PyTorch This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing da

4.5k Jan 08, 2023

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics This work will be published in Nature Biomedical

71 Nov 15, 2022

Official implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis https://arxiv.org/abs/2011.13775

CIPS -- Official Pytorch Implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis Requirements pip install -r requi

201 Dec 21, 2022

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Related tags

Overview

LSTM Neural Network for Time Series Prediction

Requirements

Owner

Jakob Aungiers

Active Offline Policy Selection With Python

Probabilistic Cross-Modal Embedding (PCME) CVPR 2021

For medical image segmentation

Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.

Mesh Graphormer is a new transformer-based method for human pose and mesh reconsruction from an input image

Auto-updating data to assist in investment to NEPSE

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

Video-based open-world segmentation

Source code for the paper: Variance-Aware Machine Translation Test Sets (NeurIPS 2021 Datasets and Benchmarks Track)

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Official implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis https://arxiv.org/abs/2011.13775

Share a benchmark that can easily apply reinforcement learning in Job-shop-scheduling

Unofficial PyTorch reimplementation of the paper Swin Transformer V2: Scaling Up Capacity and Resolution

Tools for robust generative diffeomorphic slice to volume reconstruction

Deep Learning Theory

TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform

AnimationKit: AI Upscaling & Interpolation using Real-ESRGAN+RIFE

A torch implementation of "Pixel-Level Domain Transfer"

Code for paper PairRE: Knowledge Graph Embeddings via Paired Relation Vectors.