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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

auto-lambda

The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

fftransformer

Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0

gnn-lstm_c-v-r-scuc

This set of codes implements our TPWRS paper "Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment". This work is under the open license: CC BY 4.0.

gnn_opf_electricity_market

google_mtl

Google多任务模型MMoE

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

hwjcode

informer2020

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

libmtl

A PyTorch Library for Multi-Task Learning

load-point-forecast

load point forecast

multi-task-learning-pytorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

multidet-transformer

multidet model

multitaskmodel

multi task mode for esmm and mmoe

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

st-mgat

time-series-library

A Library for Advanced Deep Time Series Models.

timegan-pytorch

Pytorch implementation of the paper "Time-series Generative Adversarial Networks".

topology-aware-learning-assisted-branch-and-ramp-constraints-screening-for-dynamic-economic-dispatch

This repository contains the code of the following article: Topology-Aware-Learning-Assisted-Branch-and-Ramp-Constraints-Screening-for-Dynamic-Economic-Dispatch

torchmtl

A lightweight module for Multi-Task Learning in pytorch.

transdim

Machine learning for transportation data imputation and prediction.

transformer-dpnet

T-DPnet-Transformer-based-deep-Probabilistic-network-for-load-forecasting

unitcommitment.jl

Optimization package for the Security-Constrained Unit Commitment Problem

wind_scenarios

A model for generating wind power production scenarios based on open data from AEMO