An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.
☆28Dec 11, 2020Updated 5 years ago
Alternatives and similar repositories for Learning-to-Optimize
Users that are interested in Learning-to-Optimize are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018☆63Sep 4, 2020Updated 5 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆298Jun 9, 2023Updated 3 years ago
- A Berkeley library for probability theory.☆15Jan 14, 2025Updated last year
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆49Aug 26, 2024Updated last year
- This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.☆12Mar 14, 2024Updated 2 years 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.
- Multi-task end-to-end predict-then-optimize☆14Apr 28, 2023Updated 3 years ago
- ☆24Jun 4, 2021Updated 5 years ago
- ☆31Nov 27, 2024Updated last year
- This repository may contain useful scripts for debugging on a remote slurm cluster.☆10Nov 8, 2024Updated last year
- Code of the paper: Stochastic AC Optimal Power Flow: A Data-Driven Approach☆20Mar 27, 2020Updated 6 years ago
- The collection of my research papers' illustrations.☆22Oct 15, 2023Updated 2 years ago
- SDSC Summer Institute 2018 Teaching Material☆10Nov 25, 2022Updated 3 years ago
- An ANN-LSTM based Model for Learning Individual Customer Behavior in Response to Electricity Prices☆11Mar 27, 2020Updated 6 years ago
- ☆11Jun 21, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆14Mar 12, 2023Updated 3 years ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Dec 19, 2023Updated 2 years ago
- Python Library for Robustness Monitoring and Adversarial Debugging of NLP models☆15Dec 26, 2022Updated 3 years ago
- Short-term load forecasting with machine learning☆10Nov 11, 2021Updated 4 years ago
- Learning Backtracking Models, ICLR'19☆10Feb 2, 2018Updated 8 years ago
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆28Aug 29, 2023Updated 2 years ago
- Unofficial implementation of ''BEDSR-Net: A Deep Shadow Removal from a Single Document Image'' with PyTorch☆11Jul 28, 2023Updated 3 years ago
- ☆33Mar 14, 2025Updated last year
- Some improvements on ArcFace model☆16Sep 10, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Spatial Adversarial Convolutional Neural Network for Surface Defect Detection☆10May 2, 2020Updated 6 years ago
- 【TOIS2023】perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games☆11Apr 27, 2023Updated 3 years ago
- Enforcing robust control guarantees within neural network policies☆55Apr 24, 2021Updated 5 years ago
- ☆11Jun 6, 2022Updated 4 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆57Mar 8, 2023Updated 3 years ago
- A tutorial for the famous non dominated sorting genetic algorithm II, multiobjective evolutionary algorithm.☆17Aug 3, 2020Updated 5 years ago
- Anki decks for Technion courses☆13Apr 26, 2024Updated 2 years ago
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆30Apr 3, 2021Updated 5 years ago
- A gym interface for AI safety gridworlds created in pycolab.☆18May 12, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A toolkit for working with RDDL domains in Python3.☆18Nov 7, 2020Updated 5 years ago
- Quickstart tutorial Prerequisites Before reading this tutorial you should know a bit of Python. If you would like to refresh your memory,…☆16Dec 14, 2021Updated 4 years ago
- This repository contains the code for Physics-Informed Neural Network for DC Optimal Power Flow applications and the worst case guarantee…☆30Sep 2, 2021Updated 4 years ago
- Quantile regression neural networks☆19Dec 2, 2023Updated 2 years ago
- ☆15Jul 18, 2019Updated 7 years ago
- [CVPR 2021] Official Implementation of VAI: Unsupervised Visual Attention and Invariance for Reinforcement Learning☆27May 3, 2022Updated 4 years ago
- 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