Alternatives and similar repositories for pytorch-generative-models

Users that are interested in pytorch-generative-models are comparing it to the libraries listed below

• b-etienne / Seq2seq-PyTorch
  ☆76Updated 5 years ago
• buomsoo-kim / PyTorch-learners-tutorial
  PyTorch tutorial for learners
  ☆121Updated 6 years ago
• bentrevett / a-tour-of-pytorch-optimizers
  A tour of different optimization algorithms in PyTorch.
  ☆99Updated 4 years ago
• chrisvdweth / ml-toolkit
  ☆64Updated 5 years ago
• 0aqz0 / pytorch-attention-mechanism
  my codes for learning attention mechanism
  ☆51Updated 5 years ago
• dariocazzani / pytorch-AE
  Autoencoders in PyTorch
  ☆97Updated 3 years ago
• ifding / seq2seq-pytorch
  Sequence to Sequence Models with PyTorch
  ☆26Updated 7 years ago
• gabrielloye / Attention_Seq2seq-Translation
  ☆34Updated 5 years ago
• uzaymacar / attention-mechanisms
  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with Ten…
  ☆362Updated last year
• monk1337 / Various-Attention-mechanisms
  This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…
  ☆127Updated 4 years ago
• The-AI-Summer / RNN_tutorial
  Recurrent neural networks: building a custom LSTM/GRU cell in PyTorch
  ☆28Updated 5 years ago
• gcunhase / PaperNotes
  Important notes on scientific papers
  ☆21Updated 4 years ago
• Mayurji / MLWithPytorch
  Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
  ☆130Updated last month
• keitakurita / Better_LSTM_PyTorch
  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
  ☆134Updated 6 years ago
• mjpyeon / wavenet-classifier
  Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
  ☆64Updated 6 years ago
• sayakpaul / Knowledge-Distillation-in-Keras
  Demonstrates knowledge distillation for image-based models in Keras.
  ☆54Updated 4 years ago
• shervinea / pytorch-data-generator
  Template for data generator with PyTorch
  ☆136Updated 7 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• lorenlugosch / pytorch_HMM
  HMMs in PyTorch
  ☆142Updated 4 years ago
• nicklashansen / rnn_lstm_from_scratch
  How to build RNNs and LSTMs from scratch with NumPy.
  ☆274Updated 5 years ago
• dzlab / deepprojects
  A non-ending collection of jupyter notebooks
  ☆40Updated 3 years ago
• piEsposito / pytorch-lstm-by-hand
  A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
  ☆127Updated 5 years ago
• nocotan / pytorch-lightning-gans
  Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.
  ☆170Updated 9 months ago
• IvanBongiorni / TensorFlow2.0_Notebooks
  Implementation of a series of Neural Network architectures in TensorFow 2.0
  ☆37Updated 4 years ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆34Updated 5 years ago
• HarshSulakhe / siamesenetworks-pytorch
  An implementation of Contrastive Loss in PyTorch using Siamese Networks
  ☆27Updated 5 years ago
• tilman151 / unittest_dl
  Example unit tests for deep learning projects.
  ☆37Updated 5 years ago
• jingpingjiao / siamese_cnn
  Pytorch implementation of Siamese networks that learns to classify its inputs, the neural networks learns to differentiate between two pe…
  ☆35Updated 6 years ago
• zaidalyafeai / AttentioNN
  All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
  ☆234Updated 6 years ago
• ChristofHenkel / kaggle-birdclef2021-2nd-place
  ☆90Updated 4 years ago