Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
☆154Nov 9, 2023Updated 2 years ago
Alternatives and similar repositories for CAGrad
Users that are interested in CAGrad are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆129May 9, 2024Updated 2 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆246Jun 25, 2025Updated last year
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆68Jun 22, 2022Updated 4 years ago
- Official Pytorch's implementation of RotoGrad☆83Aug 1, 2023Updated 2 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆140Feb 5, 2023Updated 3 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.
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆403Jun 22, 2021Updated 5 years ago
- Multi Task RL Baselines☆268Dec 31, 2021Updated 4 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆18Jul 31, 2024Updated last year
- A PyTorch Library for Multi-Task Learning☆2,566May 14, 2025Updated last year
- Official implementation of Auxiliary learning as an Bargaining Game.☆32Jan 19, 2024Updated 2 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆26Jun 9, 2021Updated 5 years ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆144Jan 2, 2020Updated 6 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆272Aug 9, 2022Updated 3 years ago
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆841Mar 3, 2026Updated 4 months 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.
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆107Apr 19, 2022Updated 4 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,073Sep 2, 2024Updated last year
- Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…☆11Mar 28, 2022Updated 4 years ago
- ☆16Jan 13, 2023Updated 3 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆23Jan 21, 2021Updated 5 years ago
- PyTorch implementation of "Towards Impartial Multi-Task Learning"☆13Apr 12, 2024Updated 2 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆20Jan 11, 2023Updated 3 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆33Mar 1, 2019Updated 7 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Aug 12, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆30Sep 29, 2023Updated 2 years ago
- ☆30Jul 12, 2023Updated 2 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆37Mar 3, 2022Updated 4 years ago
- 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
- Gridworld environment creator for testing RL algorithms☆37Jul 19, 2024Updated last year
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 3 years ago
- (Unofficial) Implementation of ICLR 2021 paper "Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multil…☆14Sep 14, 2022Updated 3 years ago
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆17Dec 30, 2023Updated 2 years ago
- [CVPR 2023] The official Pytorch implementation of Re-GAN☆20Jul 11, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official repository for ACCV 2020 paper 'Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance'☆18Jun 24, 2021Updated 5 years ago
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)☆21Jun 27, 2023Updated 3 years ago
- ☆25Mar 26, 2024Updated 2 years ago
- Implementation and evaluation of Almanac (Automaton/Logic Multi-Agent Natural Actor-Critic), an algorithm for multi-agent reinforcement l…☆10May 5, 2022Updated 4 years ago
- ☆31Jan 7, 2023Updated 3 years ago
- ☆42Mar 19, 2021Updated 5 years ago
- MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection☆47Apr 25, 2023Updated 3 years ago