Alternatives and similar repositories for forge

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

• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆190Updated 2 years ago
• mrahtz / tbplot
  Plot TensorBoard graphs fast
  ☆51Updated 3 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 7 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• emtiyaz / vadam
  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
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆190Updated 3 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆54Updated 6 years ago
• reproducibility-challenge / iclr_2019
  ICLR Reproducibility Challenge 2019
  ☆217Updated 6 years ago
• BorealisAI / lite_tracer
  a light weight experiment reproducibility toolset
  ☆40Updated 5 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• amzn / metalearn-leap
  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
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• noahgolmant / skeletor
  A tiny module for machine learning experiment orchestration
  ☆63Updated 6 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆81Updated 6 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 4 years ago
• AndreasMadsen / stable-nalu
  Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)
  ☆146Updated 4 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• oval-group / mlogger
  a lightweight and simple logger for Machine Learning
  ☆127Updated 4 years ago