karlhigley / torch-optim-sparseLinks
PyTorch optimizers with sparse momentum and weight decay
☆10Updated 5 years ago
Alternatives and similar repositories for torch-optim-sparse
Users that are interested in torch-optim-sparse are comparing it to the libraries listed below
Sorting:
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆35Updated 6 years ago
- Exponential Machines implementation☆42Updated 7 months ago
- ☆45Updated 5 years ago
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 5 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆52Updated 6 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 8 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆191Updated 2 years ago
- Blazingly fast capsule networks in 75 lines of pytorch+einops☆26Updated 4 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- ☆50Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆37Updated 7 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Implementations of different reinforcement learning algorithms☆10Updated 7 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 3 years ago
- Дипломная работа бакалавра / Bachelor thesis☆11Updated 10 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆75Updated 7 years ago
- Python way to Read/Write TFRecords☆64Updated 7 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models☆28Updated last year
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆52Updated 5 years ago
- ☆75Updated 5 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Simple ranking metrics for PyTorch on CPU or GPU☆15Updated 4 years ago
- A Python implementation of LightFM, a hybrid recommendation algorithm.☆14Updated 7 years ago
- Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning☆15Updated 8 years ago