google / learned_optimizationLinks
☆794Updated this week
Alternatives and similar repositories for learned_optimization
Users that are interested in learned_optimization are comparing it to the libraries listed below
Sorting:
- ML Collections is a library of Python Collections designed for ML use cases.☆1,006Updated 2 months ago
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,115Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated 5 months ago
- Code for our NeurIPS 2022 paper☆371Updated 3 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆475Updated 3 years ago
- TensorDict is a pytorch dedicated tensor container.☆1,002Updated last week
- maximal update parametrization (µP)☆1,662Updated last year
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆406Updated this week
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆487Updated 3 years ago
- Tensors, for human consumption☆1,353Updated this week
- Named tensors with first-class dimensions for PyTorch☆332Updated 2 years ago
- For optimization algorithm research and development.☆556Updated last week
- ☆374Updated last week
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆623Updated 2 weeks ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆423Updated last year
- D-Adaptation for SGD, Adam and AdaGrad☆528Updated last year
- Memory mapped numpy arrays of varying shapes☆307Updated last year
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated last year
- A platform for managing machine learning experiments☆890Updated last month
- PIX is an image processing library in JAX, for JAX.☆432Updated 10 months ago
- torchview: visualize pytorch models☆1,020Updated 8 months ago
- ☆919Updated 2 weeks ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,472Updated 8 months ago
- Unofficial JAX implementations of deep learning research papers☆160Updated 3 years ago
- CLU lets you write beautiful training loops in JAX.☆366Updated last week
- Implementation of https://srush.github.io/annotated-s4☆511Updated 7 months ago
- Automatic gradient descent☆217Updated 2 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 3 years ago
- Fast, differentiable sorting and ranking in PyTorch☆847Updated 7 months ago
- 100 exercises to learn JAX☆598Updated 3 years ago