Memory efficient MAML using gradient checkpointing
☆86Dec 30, 2019Updated 6 years ago
Alternatives and similar repositories for memory-efficient-maml
Users that are interested in memory-efficient-maml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Dec 4, 2020Updated 5 years ago
- Accompanying repository for Unsupervised Active Domain Randomization in Goal-Directed RL☆12Aug 4, 2020Updated 5 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,058Jul 17, 2023Updated 2 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 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.
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Jan 18, 2019Updated 7 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…☆826Dec 5, 2023Updated 2 years ago
- Meta-learning learning rates with higher☆12Sep 27, 2019Updated 6 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Sep 28, 2022Updated 3 years ago
- ☆11Oct 8, 2020Updated 5 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
- Reproduction of the IMAML paper☆28Feb 15, 2021Updated 5 years ago
- ☆126Jun 3, 2024Updated 2 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.
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆66Dec 9, 2019Updated 6 years ago
- A suite of tools for text preparation, vectorization and processing for deep learning with Keras.☆13Jul 29, 2023Updated 2 years ago
- A PyTorch Library for Meta-learning Research☆2,884Dec 16, 2025Updated 5 months ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆206Jul 25, 2024Updated last year
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Aug 19, 2021Updated 4 years ago
- Code for "Unlearning Traces the Influential Training Data of Language Models"☆13Jun 13, 2024Updated last year
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Aug 7, 2019Updated 6 years ago
- Official PyTorch implementation for "Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations".☆21Dec 3, 2021Updated 4 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆141Dec 3, 2019Updated 6 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.
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Mar 29, 2021Updated 5 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46May 4, 2021Updated 5 years ago
- Split bib files for anthology bibliography for overleaf☆11Aug 25, 2024Updated last year
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆240Jul 7, 2020Updated 5 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆89Jul 20, 2022Updated 3 years ago
- ☆154May 25, 2020Updated 6 years ago
- Gold Loss Correction for training neural networks with labels corrupted with severe noise☆13Aug 17, 2019Updated 6 years ago
- ☆11Dec 22, 2018Updated 7 years ago
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 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 the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 7 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35May 17, 2019Updated 7 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆571Jun 26, 2019Updated 6 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Dec 31, 2019Updated 6 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆162Jan 14, 2021Updated 5 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18May 7, 2019Updated 7 years ago