apple / ml-data-parameters
☆74Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ml-data-parameters
- ☆34Updated 5 years ago
- ☆44Updated 3 months ago
- Improving generalization by controlling label-noise information in neural network weights.☆39Updated 3 years ago
- ☆21Updated 4 years ago
- pytorch implementation of SOSELETO☆15Updated 5 years ago
- Memory efficient MAML using gradient checkpointing☆83Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- ☆46Updated 5 years ago
- ☆61Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 3 years ago
- ☆124Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- An implementation of shampoo☆74Updated 6 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated last year
- ☆16Updated 2 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆31Updated 6 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- ☆26Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 4 years ago
- ☆23Updated 2 weeks ago
- ☆25Updated 4 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated last year
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆21Updated 5 years ago
- Evaluating AlexNet features at various depths☆39Updated 4 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆76Updated 4 years ago
- Code for SelfAugment☆27Updated 3 years ago