6.862-transformer-review

actionformer_release

Code release for ActionFormer (ECCV 2022)

ai-deadlines

:alarm_clock: AI conference deadline countdowns

annotated_deep_learning_paper_implementations

🧠 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.

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

awesome-temporal-action-segmentation

A curated list of awesome temporal action segmentation resources.

awesome-time-series

A comprehensive survey on the time series domains

basictad

BasicTAD: an Astounding RGB-Only Baselinefor Temporal Action Detection

blog

Public repo for HF blog posts

blogwiki

Use to store public paper and organize them.

ddz.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ddz16

ddz16.github.io

Personal website of ddz16

graphtextpretrain

The pretrain code for the paper "Natural Language-informed Understanding of Molecule Graphs"

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

m4-methods

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

moleculecaption

This repository contains the code of the downstream task (molecule caption) in the paper "Natural Language-informed Understanding of Molecule Graphs”

moleculeprediction

This repository contains the code of the downstream task (molecule property prediction) in the paper "Natural Language-informed Understanding of Molecule Graphs”

momu

The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".

paper-reading

深度学习经典、新论文逐段精读

preformer

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”

py-motmetrics

pytorch-forecasting

Time series forecasting with PyTorch

pytorch-transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.