Distributed ML Training and Fine-Tuning on Kubernetes
Automated Machine Learning on Kubernetes
Official code for Score-Based Generative Modeling through Stochastic Dif...
JAX - A curated list of resources https://github.com/google/jax
Numerical differential equation solvers in JAX. Autodifferentiable and G...
Type annotations and runtime checking for shape and dtype of JAX/NumPy/P...
Hardware accelerated, batchable and differentiable optimizers in JAX.
A Library for Uncertainty Quantification.
💁 Awesome Treasure of Transformers Models for Natural Language processi...
Digital Audio Workstation with Python; VST instruments/effects, paramete...
The goal of this library is to generate more helpful exception messages ...
A high-performance ML model serving framework, offers dynamic batching a...
PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same...
Long Range Arena for Benchmarking Efficient Transformers
PDEBench: An Extensive Benchmark for Scientific Machine Learning