Alternatives and similar repositories for madam:

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

• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆123Updated 7 months ago
• srush / parallax
  ☆153Updated 4 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆58Updated 4 years ago
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 4 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆66Updated 4 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 3 years ago
• g-benton / loss-surface-simplexes
  ☆98Updated 3 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆183Updated last year
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆84Updated 3 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆107Updated 2 years ago
• choidami / sst
  ☆49Updated 4 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• srush / torch-queue
  ☆67Updated last year
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆47Updated 3 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆66Updated last year
• robintibor / generative-reversible
  ☆32Updated 6 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• willwhitney / reprieve
  A library for evaluating representations.
  ☆74Updated 3 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• michalwols / yann
  Yet Another Neural Network Library 🤔
  ☆25Updated last month
• gehring / fax
  ☆80Updated 3 years ago
• jxbz / nero
  👑 Pytorch code for the Nero optimiser.
  ☆20Updated 2 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆77Updated 4 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆93Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 2 years ago