Official implementation of Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization (ICLR 2026).
☆15Apr 22, 2026Updated 6 months ago
Alternatives and similar repositories for Diffusion_DFL
Users that are interested in Diffusion_DFL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Convex Optimization under Uncertainty☆35Oct 12, 2026Updated 2 weeks ago
- Convert CVXPY expressions to PyTorch expressions☆18Jul 8, 2025Updated last year
- This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.☆13Mar 14, 2024Updated 2 years ago
- Augments popular QP solvers with differentiability☆24May 5, 2026Updated 5 months ago
- The Code for Homeomorphic Projection☆14Sep 21, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆14Nov 16, 2024Updated last year
- Solving Optimal Power Flow with Convex Restriction☆23Mar 30, 2021Updated 5 years ago
- ☆26Jan 8, 2024Updated 2 years ago
- DC-based Security Constraints Formulation: A Perspective of Primal-Dual Interior Point Method☆10Mar 3, 2023Updated 3 years ago
- Fully First-Order Differentiable Optimization☆41Mar 28, 2026Updated 6 months ago
- ☆33Mar 13, 2024Updated 2 years ago
- official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"☆10Aug 26, 2023Updated 3 years ago
- Starter pack for distributionally robust chance-constrained optimization using the Wasserstein distance☆14Jul 2, 2024Updated 2 years ago
- ⚗️ AI Agent 生态每天海量资讯,99% 是噪音。这个仓库只做一件事:把最新碎片信号提纯为你能直接用的架构导轨、设计模式和工程实践。☆13Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This set of codes implements our NAPS paper "Reduced Optimal Power Flow Using Graph Neural Network". This work is under the open license:…☆14Feb 23, 2024Updated 2 years ago
- ☆19Aug 15, 2022Updated 4 years ago
- Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)☆21Jul 16, 2024Updated 2 years ago
- ☆16Nov 4, 2021Updated 4 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆39May 21, 2019Updated 7 years ago
- ☆14Sep 3, 2026Updated last month
- Differentiable network optimization☆21Sep 30, 2026Updated 3 weeks ago
- Reduced-space optimization, for optimal power flow.☆23Mar 30, 2025Updated last year
- Repository of reference Gabriel graph, Internet Topology Zoo, SNDlib, CAIDA and synthetic backbone topologies for networking research☆16Oct 11, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆10Jan 21, 2020Updated 6 years ago
- NS3 Gym for Congestion Control based on Deep Reinforcement Learning☆15Jul 8, 2023Updated 3 years ago
- This is a course in Data Science with Python☆16Updated this week
- This program implements day-ahead scheduling models (i) SCUC with daily/constant line rating and (ii) SCUC with hourly/dynamic line ratin…☆25Mar 22, 2023Updated 3 years ago
- Nicrozoft 官方网站☆12Oct 19, 2026Updated last week
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆38Apr 13, 2025Updated last year
- Differentiating optimization programs w.r.t. program parameters☆146Oct 11, 2026Updated 2 weeks ago
- ☆16Oct 8, 2024Updated 2 years ago
- ☆16Mar 24, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-based Routing with Reinforcement Learning☆15Oct 16, 2022Updated 4 years ago
- A time & energy benchmark suite for generative AI☆18May 10, 2026Updated 5 months ago
- Modular simulation library for AI datacenter-grid interaction☆29May 11, 2026Updated 5 months ago
- Algorithm for Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening☆12Aug 5, 2025Updated last year
- ☆59Jul 28, 2026Updated 2 months ago
- Neural Fixed-Point Acceleration for Convex Optimization☆30Oct 6, 2022Updated 4 years ago
- Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients☆16May 13, 2020Updated 6 years ago