Pinned Repositories
aLLM4TS
[ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
CALF
An official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning"
Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
FEDformer
Forex-Stock-Price-Prediction-using-Transformer-and-Time-Embeddings
This repository contains the code for the Project "Forex Stock Price Prediction using Transformers and Time Embeddings" written in Tensorflow 2.9.1
google-research
Google Research
llama-recipes
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
Michaelbay1998's Repositories
Michaelbay1998/llama-recipes
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
Michaelbay1998/aLLM4TS
[ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"
Michaelbay1998/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Michaelbay1998/AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
Michaelbay1998/CALF
An official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning"
Michaelbay1998/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Michaelbay1998/Forex-Stock-Price-Prediction-using-Transformer-and-Time-Embeddings
This repository contains the code for the Project "Forex Stock Price Prediction using Transformers and Time Embeddings" written in Tensorflow 2.9.1
Michaelbay1998/google-research
Google Research
Michaelbay1998/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
Michaelbay1998/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Michaelbay1998/llama.cpp
LLM inference in C/C++
Michaelbay1998/llmtime
Michaelbay1998/MASTER
This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.
Michaelbay1998/MSGNet
MSGNet (AAAI2024)
Michaelbay1998/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
Michaelbay1998/NeurIPS2023-One-Fits-All
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
Michaelbay1998/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
Michaelbay1998/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Michaelbay1998/PDF
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
Michaelbay1998/PISA
Michaelbay1998/SOFTS
Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion" in PyTorch.
Michaelbay1998/StockFormer
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
Michaelbay1998/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Michaelbay1998/time-series-analysis
Collection of notebooks for time series analysis
Michaelbay1998/Time-Series-Library
A Library for Advanced Deep Time Series Models.
Michaelbay1998/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Michaelbay1998/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Michaelbay1998/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Michaelbay1998/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
Michaelbay1998/UniTS
A unified time series model.