My Degree Poject

AEFIN: Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism

Code I use in my YouTube videos.

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"

Chronos: Pretrained Models for Time Series Forecasting

Value-Decomposition Networks For Cooperative Multi-Agent Learning

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Source code of paper: GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting.

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)

Learn time series forecasting with this comprehensive, step-by-step tutorial.

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

[CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

Unsupervised Domain Adaptation for Computer Vision Tasks

[CVPR 2024] TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024

Robust and Ultrafast Square-Root Filter-based 3D Motion Tracking

[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"

Hands-On Learning in Computer Vision

A tool for automating WPA3-Transition Mode Downgrade Attack also known as Dragonblood Vulnerability