facebookresearch / qhoptimLinks
Implementations of quasi-hyperbolic optimization algorithms.
☆102Updated 5 years ago
Alternatives and similar repositories for qhoptim
Users that are interested in qhoptim are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Loss Patterns of Neural Networks☆85Updated 3 years ago
- An implementation of shampoo☆77Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆51Updated 6 years ago
- ☆61Updated 2 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆186Updated last year
- ☆45Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆37Updated 7 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆74Updated 7 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 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
- 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
- Simple implementation of the LSUV initialization in PyTorch☆58Updated last year
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 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
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆61Updated last year
- ☆47Updated 4 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 7 months ago
- Structured matrices for compressing neural networks☆67Updated last year
- The Limited Multi-Label Projection Layer☆59Updated last year
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago