Alternatives and similar repositories for mle-scheduler

Users that are interested in mle-scheduler are comparing it to the libraries listed below

• mle-infrastructure / mle-logging
  Lightweight ML Experiment Logging 📖
  ☆80Updated 11 months ago
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆214Updated 2 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆112Updated 3 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆39Updated last year
• srush / torch-queue
  ☆69Updated last year
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• srush / parallax
  ☆153Updated 5 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆126Updated last year
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆46Updated 4 years ago
• louislva / deepmind-perceiver
  My implementation of DeepMind's Perceiver
  ☆63Updated 4 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• google-deepmind / neural_testbed
  ☆191Updated 2 months ago
• google-deepmind / jaxline
  ☆158Updated last year
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆150Updated 11 months ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated last month
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• willwhitney / reprieve
  A library for evaluating representations.
  ☆77Updated 3 years ago
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆116Updated 2 years ago
• cgarciae / einop
  ☆60Updated 3 years ago
• ebartrum / lightning_gan_zoo
  GAN models implemented with Pytorch Lightning and Hydra configuration
  ☆34Updated 3 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆150Updated 4 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆106Updated last year
• awf / functional-transformer
  A pure-functional implementation of a machine learning transformer model in Python/JAX
  ☆178Updated 3 months ago
• google-deepmind / tf2jax
  ☆115Updated this week
• rwightman / efficientnet-jax
  EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
  ☆128Updated last year