editable-ICLR2020 / editableLinks
☆32Updated 6 years ago
Alternatives and similar repositories for editable
Users that are interested in editable are comparing it to the libraries listed below
Sorting:
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- ☆47Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 8 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆47Updated 6 years ago
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆61Updated 6 years ago
- ☆61Updated 2 years ago
- Code for "Supermasks in Superposition"☆125Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Official adversarial mixup resynthesis repository☆35Updated 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…☆41Updated 5 years ago
- ☆24Updated 9 months ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 5 years ago
- ☆26Updated 5 years ago
- ☆14Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆153Updated 2 years ago
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago