Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
☆90Jul 20, 2022Updated 4 years ago
Alternatives and similar repositories for ALFA
Users that are interested in ALFA 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 of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆67Dec 18, 2021Updated 4 years ago
- Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"☆37Oct 26, 2020Updated 5 years ago
- ☆12Sep 22, 2021Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆66Dec 9, 2019Updated 6 years ago
- ATS for NeurIPS 2021☆25Nov 4, 2021Updated 4 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.
- ☆21Jan 5, 2023Updated 3 years ago
- Reproduction of the IMAML paper☆28Feb 15, 2021Updated 5 years ago
- Placeholder repository☆15Mar 16, 2022Updated 4 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 5 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆246Sep 2, 2024Updated 2 years ago
- Deepest Season 6 Meta-Learning study papers plus alpha☆25Mar 4, 2020Updated 6 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆827Dec 5, 2023Updated 2 years ago
- Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)☆17Mar 30, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Meta-learning learning rates with higher☆12Sep 27, 2019Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Apr 8, 2021Updated 5 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Mar 4, 2022Updated 4 years ago
- The repo for ACL2021 findings paper - Don't Miss the Labels: Label-semantic Argumented Meta-Learner for Few-Shot Text Classification☆15Mar 24, 2022Updated 4 years ago
- ☆16Jun 23, 2021Updated 5 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,060Jul 17, 2023Updated 3 years ago
- Code for reproducing meta-learning for cross-lingual transfer learning in NLU and QA☆13Aug 17, 2021Updated 5 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.
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆45Jun 29, 2024Updated 2 years ago
- Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"☆21May 23, 2023Updated 3 years ago
- Learning to predict crop type from heterogeneous sparse labels using meta-learning☆21Jun 17, 2021Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆655Oct 10, 2021Updated 4 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆34Feb 7, 2023Updated 3 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Oct 28, 2020Updated 5 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆23Oct 24, 2021Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆257Mar 7, 2022Updated 4 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 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.
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 5 years ago
- ☆11Dec 13, 2023Updated 2 years ago
- CVPR2023: Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment☆14May 19, 2023Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Aug 4, 2023Updated 3 years ago
- ☆41Mar 1, 2022Updated 4 years ago
- Code base for paper "Zero-Shot Cross-Lingual Transfer with Meta Learning"☆36Nov 8, 2024Updated last year
- ☆156Dec 31, 2019Updated 6 years ago