aiwabdn / pygln
Python implementation of GLN in different frameworks
☆95Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pygln
- ☆155Updated 4 years ago
- ☆76Updated 4 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆122Updated 4 months ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆58Updated 4 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆60Updated 3 years ago
- Code for: Implicit Competitive Regularization in GANs☆114Updated 2 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 4 years ago
- Official code for the Stochastic Polyak step-size optimizer☆137Updated 5 months ago
- Experiment orchestration☆103Updated 4 years ago
- My implementation of DeepMind's Perceiver☆63Updated 3 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆47Updated 3 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆188Updated 2 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 3 years ago
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆259Updated last year
- Implements stochastic line search☆117Updated last year
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- ☆61Updated last year
- repository with the tutorials for MLSS Skoltech☆67Updated 5 years ago
- TBA☆75Updated 5 years ago
- API for accessing the GraphLog dataset☆89Updated 6 months ago
- A library for evaluating representations.☆76Updated 3 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 2 years ago
- ☆11Updated 4 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆47Updated 3 years ago
- This library is a location of the LegacyLogger for PyTorch Lightning.☆27Updated 2 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆111Updated 2 weeks ago
- Loss Patterns of Neural Networks☆82Updated 3 years ago
- Hypergradient descent☆138Updated 5 months ago