AdrienLE / learning_by_grad_by_grad_reproLinks
Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"
☆48Updated 6 years ago
Alternatives and similar repositories for learning_by_grad_by_grad_repro
Users that are interested in learning_by_grad_by_grad_repro are comparing it to the libraries listed below
Sorting:
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆117Updated 5 years ago
- ☆46Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 8 years ago
- The original code for the paper "Learning to Learn via Self-Critique".☆46Updated 6 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 7 years ago
- ☆67Updated 5 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆82Updated 8 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆315Updated 7 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- On the decision boundary of deep neural networks☆38Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆192Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- Recent few-shot meta-learning papers☆85Updated 7 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago