Alternatives and similar repositories for MultiObjectiveSampling

Users that are interested in MultiObjectiveSampling are comparing it to the libraries listed below

• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆27Updated 3 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆49Updated 3 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆33Updated 4 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 4 years ago
• ondrejbohdal / evograd
  Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"
  ☆22Updated 3 years ago
• sungsoo-ahn / learning_what_to_defer
  ☆24Updated 4 years ago
• prolearner / hypertorch
  ☆123Updated last year
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆28Updated 3 years ago
• StanfordASL / moca
  ☆32Updated 2 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 2 years ago
• metabo-iclr2020 / MetaBO
  ☆15Updated 5 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• tessavdheiden / social_empowerment
  ☆17Updated 11 months ago
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆104Updated 3 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 7 years ago
• aravindr93 / imaml_dev
  Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
  ☆58Updated 5 years ago
• yudasong / briee
  Representation Learning in RL
  ☆14Updated 3 years ago
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆29Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• Xingyu-Lin / auxiliary-tasks-rl
  Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning
  ☆26Updated 5 years ago
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆54Updated 5 years ago
• cle-ros / RoutingNetworks
  ☆66Updated 4 years ago
• vuoristo / MMAML-rl
  ☆15Updated 5 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 4 months ago
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆39Updated 4 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago