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Maneesha Perera's Projects

hierarchical-reconcilation-ml icon hierarchical-reconcilation-ml

This repository contains the code for the paper "NHR-TFNet:Forecasting Hierarchical Time Series using Non-linear Mappings".

interns-portal icon interns-portal

This is a web portal that visualize working period and feedback for interns

m4-methods icon m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

mim icon mim

Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

ml-class icon ml-class

Machine learning lessons and teaching projects designed for engineers

phydnet icon phydnet

Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"

plotly_demo icon plotly_demo

This repository presents some examples of different ways graphs can be generated using plotly in Python.

saconvsltm icon saconvsltm

Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.

solar-forecasting-framework icon solar-forecasting-framework

This repository includes the code for the paper titled as "Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations".

time-llm-paper icon time-llm-paper

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

timeseries_seq2seq icon timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

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