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awesome-llm

Awesome-LLM: a curated list of Large Language Model

calf

An official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning"

climax

Foundation model for weather & climate

cs_225_programming_assignment

divotrack

ece_391

Machine problem assignments for the ECE391 Computer System Engineering course at the University of Illinois at Urbana-Champaign.

ece_408

MP and Project for UIUC ECE 408 Fall 2022

fpga-game-design

Fireboy & Water Girl in the Forest Temple implemented on an FPGA board for UIUC's ECE385 Digital Systems Laboratory.

hank0626

itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

llama-ft

ltsf

ltsf: A Python package for easy implementation and testing of top models for long-term time-series forecasting.

m5_thu

Kaggle M5 - Accuracy Implementation

midea_thu

美的项目

multimodal-prompt-learning

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

open-sora

Open-Sora: Democratizing Efficient Video Production for All

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

pdf

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

text-dedup

All-in-one text de-duplication

thu_master_course

清华大学电子信息研究生课程大作业

time-llm

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

time-series-forecasting-and-deep-learning

Resources about time series forecasting and deep learning.

time-series-library

A Library for Advanced Deep Time Series Models.

wftnet

An official implementation of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)

xorbits

Scalable Python data science, in an API compatible & lightning fast way.

zjuintl-icicles

浙大国际校区课程攻略共享计划