mle-infrastructure / mle-schedulerLinks
Lightweight Cluster/Cloud VM Job Management 🚀
☆42Updated last year
Alternatives and similar repositories for mle-scheduler
Users that are interested in mle-scheduler are comparing it to the libraries listed below
Sorting:
- Lightweight ML Experiment Logging 📖☆80Updated last year
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆119Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆45Updated 6 months ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- ☆153Updated 5 years ago
- ☆100Updated 4 years ago
- Neural Turing Machines in pytorch☆49Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- Image augmentation library for Jax☆41Updated last year
- ☆71Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- ☆162Updated 2 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- ☆47Updated 3 years ago
- ☆60Updated 3 years ago
- ☆195Updated 3 weeks ago
- A library for evaluating representations.☆77Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- Lightweight Hyperparameter Optimization 🚂☆149Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆61Updated 3 years ago
- A Machine Learning workflow for Slurm.☆152Updated 5 years ago
- ☆214Updated 4 years ago
- ☆108Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated 2 years ago