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Code and data for "Physics-Guided Deep Neural Networks for Power Flow Analysis"
Solving Optimal Power Flow with Convex Restriction
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Visualizing nonconvex constraints in OPF problem
LLM Finetuning with peft
Official implementation for the paper
This repository contains source code necessary to reproduce the results presented in the following paper: Stability Constrained Reinforcement Learning for Real-Time Voltage Control (https://arxiv.o…
A simple and trans-platform rag framework and tutorial
基于OpenEthan/SMSBoom的加强（短信轰炸/短信测压/ | 一个健壮免费的python短信轰炸程序，专门炸坏蛋蛋，百万接口，多线程全自动添加有效接口，支持异步协程百万并发，全免费的短信轰炸工具！！）
Benchmarking different FlashAttention and FlashAttention-v2 implementations
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Image-to-Image Translation in PyTorch
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
PyTorch implementations of Generative Adversarial Networks.
Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
A universal time series representation learning framework
An implementation of WaveNet with fast generation