AntreasAntoniou / minimal-ml-template
A very minimal ml project template that uses HF transformers and wandb to train a simple NN and evaluate it, in a stateless manner compatible with Spot instances kubernetes workflows
☆35Updated last year
Related projects ⓘ
Alternatives and complementary repositories for minimal-ml-template
- Data Augmentation with Variational Autoencoders (TPAMI)☆136Updated 2 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆104Updated 2 years ago
- The long missing library for python confidence intervals☆132Updated 5 months ago
- Easy Hypernetworks in Pytorch and Jax☆96Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- ☆73Updated last year
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- ☆60Updated 10 months ago
- The M2L school 2022 tutorials☆36Updated 2 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆122Updated 9 months ago
- Provides symbolic API for model creation in PyTorch.☆62Updated 2 months ago
- Uncertainty-aware representation learning (URL) benchmark☆98Updated 8 months ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆76Updated this week
- Convert scikit-learn models to PyTorch modules☆157Updated 5 months ago
- Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow☆178Updated 2 months ago
- A Machine Learning workflow for Slurm.☆146Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆122Updated 3 months ago
- Multidimensional indexing for tensors☆112Updated last year
- ☆47Updated last year
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆60Updated this week
- A tiny library for stochastic dataset caching in PyTorch.☆39Updated 9 months ago
- Unofficial JAX implementations of deep learning research papers☆151Updated 2 years ago
- A Pytree Module system for Deep Learning in JAX☆214Updated last year
- Memory mapped numpy arrays of varying shapes☆284Updated 4 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆30Updated 6 months ago
- Check if you have training samples in your test set☆64Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 2 years ago
- Automatic gradient descent☆207Updated last year