harshalmittal4 / Hypergradient_variantsLinks
Improved Hypergradient optimizers for ML, providing better generalization and faster convergence.
☆16Updated last year
Alternatives and similar repositories for Hypergradient_variants
Users that are interested in Hypergradient_variants are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of pyramidnet☆26Updated 7 years ago
- Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI☆105Updated 6 years ago
- Code for: Implicit Competitive Regularization in GANs☆116Updated 3 years ago
- ICLR Reproducibility Challenge 2019☆217Updated 6 years ago
- ☆37Updated 7 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated last month
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆190Updated 2 years ago
- Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]☆67Updated 2 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- ☆20Updated 4 years ago
- Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al☆115Updated 6 years ago
- Other than papers from big-name labs and universities, most AI research papers get less than 10 readers, even though there might be gems …☆15Updated 7 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago
- Loss Patterns of Neural Networks☆85Updated 3 years ago
- Configure Python functions explicitly and safely☆127Updated 10 months ago
- learning to search in pytorch☆110Updated 5 years ago
- A repository providing implementations of generative models in various frameworks.☆18Updated 2 years ago
- ☆61Updated 2 years ago
- PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.☆89Updated 5 years ago
- ☆28Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- ☆219Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Notes from NeurIPS 2019☆29Updated 5 years ago
- Neural Turing Machines in Pytorch.☆46Updated 6 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Equi-normalization of Neural Networks☆115Updated 6 years ago
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 5 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆179Updated 5 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago