keras-team / keras-coreLinks
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
☆1,269Updated 3 weeks ago
Alternatives and similar repositories for keras-core
Users that are interested in keras-core are comparing it to the libraries listed below
Sorting:
- Industry-strength Computer Vision workflows with Keras☆1,041Updated 3 weeks ago
- Pretrained model hub for Keras 3.☆905Updated this week
- Thunder gives you PyTorch models superpowers for training and inference. Unlock out-of-the-box optimizations for performance, memory and …☆1,365Updated this week
- TensorDict is a pytorch dedicated tensor container.☆930Updated this week
- Tensors, for human consumption☆1,256Updated this week
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆419Updated last year
- A platform for managing machine learning experiments☆858Updated last month
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,063Updated last month
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,051Updated last year
- Generic template to bootstrap your PyTorch project.☆646Updated last year
- IDE for PyTorch and its ecosystem☆389Updated last year
- Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.☆1,566Updated this week
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,614Updated 2 weeks ago
- Schedule-Free Optimization in PyTorch☆2,179Updated last month
- 🤖 A PyTorch library of curated Transformer models and their composable components☆891Updated last year
- Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)☆1,271Updated 6 months ago
- 100 exercises to learn JAX☆582Updated 3 years ago
- A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.☆1,206Updated this week
- ☆350Updated last month
- A JAX research toolkit for building, editing, and visualizing neural networks.☆1,790Updated last month
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,291Updated this week
- Transform datasets at scale. Optimize datasets for fast AI model training.☆491Updated this week
- For optimization algorithm research and development.☆521Updated 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
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,431Updated last month
- ☆778Updated 2 weeks ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆385Updated this week
- Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.☆592Updated 3 months ago
- ML Collections is a library of Python Collections designed for ML use cases.☆960Updated last month
- What would you do with 1000 H100s...☆1,053Updated last year