Alternatives and similar repositories for Sklearn_PyTorch

Users that are interested in Sklearn_PyTorch are comparing it to the libraries listed below

• tuantle / regression-losses-pytorch
  Experimenting with different regression losses. Implemented in Pytorch.
  ☆148Updated 6 years ago
• nocotan / pytorch-lightning-gans
  Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.
  ☆171Updated 8 months ago
• ahmedfgad / TorchGA
  Train PyTorch Models using the Genetic Algorithm with PyGAD
  ☆101Updated last year
• lucidrains / h-transformer-1d
  Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
  ☆166Updated last year
• rishikksh20 / FNet-pytorch
  Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
  ☆260Updated 4 years ago
• lucidrains / nystrom-attention
  Implementation of Nyström Self-attention, from the paper Nyströmformer
  ☆141Updated 8 months ago
• borchero / pycave
  Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
  ☆128Updated last week
• pseeth / autoclip
  Adaptive Gradient Clipping
  ☆153Updated 3 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆86Updated 6 years ago
• yoyolicoris / pytorch-NMF
  A pytorch package for non-negative matrix factorization.
  ☆245Updated last year
• lucidrains / axial-positional-embedding
  Axial Positional Embedding for Pytorch
  ☆84Updated 9 months ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• tchaton / lightning-geometric
  Integrate pytorch
  ☆46Updated 4 years ago
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆250Updated 2 years ago
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆32Updated 4 years ago
• EscVM / Efficient-CapsNet
  Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
  ☆274Updated 4 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆54Updated 3 years ago
• bvezilic / Variational-autoencoder
  PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset.
  ☆27Updated last year
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆73Updated 4 years ago
• aliutkus / spe
  Relative Positional Encoding for Transformers with Linear Complexity
  ☆65Updated 3 years ago
• teddykoker / performer
  Simply Numpy implementation of the FAVOR+ attention mechanism, https://teddykoker.com/2020/11/performers/
  ☆38Updated 4 years ago
• marl / autopool
  Adaptive pooling operators for multiple instance learning
  ☆78Updated 3 years ago
• lucidrains / contrastive-learner
  A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
  ☆150Updated 4 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆79Updated 5 years ago
• david-knigge / ccnn
  Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…
  ☆183Updated 6 months ago
• giannisnik / som
  Pytorch implementation of a Self-Organizing Map
  ☆89Updated 6 years ago
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• MaxHalford / pytorch-resample
  🎲 Iterable dataset resampling in PyTorch
  ☆92Updated 3 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆93Updated 4 years ago
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆21Updated 5 years ago