This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
☆40May 25, 2021Updated 5 years ago
Alternatives and similar repositories for cosmos
Users that are interested in cosmos are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [AAAI-23] Improving Pareto Front Learning via Multi-Sample Hypernetworks☆10Aug 22, 2024Updated last year
- ☆71Sep 5, 2024Updated last year
- Accuracy and fairness trade-offs: A stochastic multi-objective approach☆13Jun 3, 2021Updated 5 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆106Apr 19, 2022Updated 4 years ago
- ☆25Oct 25, 2023Updated 2 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.
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆144Jan 2, 2020Updated 6 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆18Jul 31, 2024Updated last year
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆68Jun 22, 2022Updated 4 years ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆33Apr 30, 2025Updated last year
- N-Tuple Bandit Evolutionary Algorithm☆14May 8, 2020Updated 6 years ago
- ☆18Dec 6, 2021Updated 4 years ago
- Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]☆26Updated this week
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆69Apr 21, 2022Updated 4 years ago
- Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)☆12Oct 22, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆11Apr 14, 2023Updated 3 years ago
- 🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray☆18Jul 20, 2018Updated 7 years ago
- Implementation of "Exponential Natural Evolution Strategies" (xNES) https://arxiv.org/abs/1106.4487☆20Dec 11, 2019Updated 6 years ago
- A pytorch toolbox designed for experimentation using a generalization of the Resnet design.☆15Jul 6, 2023Updated 2 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆133Oct 9, 2020Updated 5 years ago
- Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Jul 24, 2020Updated 5 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆142Mar 28, 2025Updated last year
- A rewrite of hanabi-bot in Scala☆15Aug 26, 2021Updated 4 years ago
- CNRec Data Associated with Content based News Recommendation via Shortest Entity Distance over Knowledge Graph☆10Feb 26, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning☆26Jun 29, 2020Updated 6 years ago
- code for paper "DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints"☆26Feb 4, 2025Updated last year
- ☆11Feb 17, 2025Updated last year
- ☆11Sep 8, 2016Updated 9 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Jul 25, 2018Updated 7 years ago
- ☆12May 8, 2024Updated 2 years ago
- Code for H. Narasimhan, "Learning with Complex Loss Functions and Constraints", AISTATS 2018☆11Mar 21, 2018Updated 8 years ago
- A simplified Pytorch implementation of DCRNN☆14Jul 30, 2020Updated 5 years ago
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2…☆32Oct 17, 2022Updated 3 years ago
- Posted at AAAI 2023☆11Sep 4, 2025Updated 10 months ago
- This repository is the official implementation of the source code of the paper "B2Opt: Learning to Optimize Black-box Optimization with L…☆12Aug 16, 2024Updated last year
- Neural network for the Telescope project -- providing automated roto-scoping with user-defined trimaps.☆13Apr 3, 2019Updated 7 years ago
- ☆12Jun 26, 2020Updated 6 years ago
- ☆12May 8, 2020Updated 6 years ago
- implementation of our IJCAI'24 paper "Cross-Problem Learning for Solving Vehicle Routing Problems".☆20Aug 17, 2024Updated last year