Alternatives and similar repositories for torchfold

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

• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆155Updated 7 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆288Updated 6 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• bastings / nn4nlp2017-code-pytorch
  Code Samples from Neural Networks for NLP
  ☆72Updated 7 years ago
• ryankiros / layer-norm
  Code and models from the paper "Layer Normalization"
  ☆247Updated 8 years ago
• ofirpress / YouMayNotNeedAttention
  Code for the Eager Translation Model from the paper You May Not Need Attention
  ☆294Updated 6 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• salesforce / matchbox
  Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
  ☆484Updated 3 years ago
• jingweiz / pytorch-dnc
  Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
  ☆277Updated 7 years ago
• andrewliao11 / dni.pytorch
  Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
  ☆119Updated 7 years ago
• ypxie / pytorch-NeuCom
  Pytorch implementation of DeepMind's differentiable neural computer paper.
  ☆93Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆269Updated 6 years ago
• pbhatia243 / tf-layer-norm
  TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
  ☆111Updated 8 years ago
• alexsax / pytorch-visdom
  Support powerful visual logging in PyTorch.
  ☆103Updated 7 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆110Updated 7 years ago
• oval-group / mlogger
  a lightweight and simple logger for Machine Learning
  ☆127Updated 4 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 5 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• nyu-dl / dl4mt-cdec
  ☆167Updated 8 years ago
• davidBelanger / SPEN
  Structured Prediction Energy Networks in Torch
  ☆132Updated 8 years ago
• okuchaiev / f-lm
  Language Modeling
  ☆156Updated 5 years ago
• cooijmanstim / recurrent-batch-normalization
  ☆64Updated 8 years ago
• hardmaru / supercell
  supercell
  ☆192Updated 7 years ago
• rafaljozefowicz / lm
  ☆165Updated 8 years ago
• imatge-upc / skiprnn-2017-telecombcn
  Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
  ☆121Updated 2 years ago
• jimfleming / recurrent-entity-networks
  TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
  ☆273Updated 7 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• glample / rnn-benchmarks
  Benchmarks for several RNN variations with different deep-learning frameworks
  ☆169Updated 6 years ago
• viking-sudo-rm / StackNN
  Experiments with differentiable stacks and queues in PyTorch
  ☆142Updated 5 years ago