google / vizierLinks
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
☆1,566Updated this week
Alternatives and similar repositories for vizier
Users that are interested in vizier are comparing it to the libraries listed below
Sorting:
- A platform for managing machine learning experiments☆858Updated last month
- JAX-based neural network library☆3,047Updated this week
- maximal update parametrization (µP)☆1,541Updated 11 months ago
- ML Collections is a library of Python Collections designed for ML use cases.☆960Updated last month
- ☆778Updated 2 weeks ago
- Optax is a gradient processing and optimization library for JAX.☆1,916Updated this week
- TensorDict is a pytorch dedicated tensor container.☆930Updated this week
- A JAX research toolkit for building, editing, and visualizing neural networks.☆1,790Updated last month
- functorch is JAX-like composable function transforms for PyTorch.☆1,432Updated this week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,441Updated last month
- A Graph Neural Network Library in Jax☆1,433Updated last year
- A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.☆1,206Updated this week
- ☆861Updated 2 weeks ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,394Updated this week
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,065Updated last month
- ☆350Updated last month
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆385Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,051Updated last year
- High performance model preprocessing library on PyTorch☆650Updated last year
- Flax is a neural network library for JAX that is designed for flexibility.☆6,624Updated this week
- Tensors, for human consumption☆1,256Updated this week
- Manipulating Python Programs☆665Updated last month
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,280Updated this week
- For optimization algorithm research and development.☆521Updated this week
- JAX - A curated list of resources https://github.com/google/jax☆1,838Updated 4 months ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆419Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆974Updated 2 months ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆510Updated last week
- A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.☆1,269Updated 3 weeks ago
- Cramming the training of a (BERT-type) language model into limited compute.☆1,335Updated last year