ddz16's Projects
Code release for ActionFormer (ECCV 2022)
:alarm_clock: AI conference deadline countdowns
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A curated list of awesome temporal action segmentation resources.
A comprehensive survey on the time series domains
BasicTAD: an Astounding RGB-Only Baselinefor Temporal Action Detection
Public repo for HF blog posts
Use to store public paper and organize them.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Personal website of ddz16
The pretrain code for the paper "Natural Language-informed Understanding of Molecule Graphs"
:octocat: 分享 GitHub 上有趣、入门级的开源项目
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
Data, Benchmarks, and methods submitted to the M4 forecasting competition
This repository contains the code of the downstream task (molecule caption) in the paper "Natural Language-informed Understanding of Molecule Graphs”
This repository contains the code of the downstream task (molecule property prediction) in the paper "Natural Language-informed Understanding of Molecule Graphs”
The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".
深度学习经典、新论文逐段精读
This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”
Time series forecasting with PyTorch
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
《Pytorch模型训练实用教程》中配套代码
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.