JAX
Google (Chrome DevTools team) · Training & fine-tuning
Python library for NumPy-style array computing with composable transformations (jit, grad, vmap, shard_map) compiled through XLA to CPU, GPU and TPU
5 tools
Google (Chrome DevTools team) · Training & fine-tuning
Python library for NumPy-style array computing with composable transformations (jit, grad, vmap, shard_map) compiled through XLA to CPU, GPU and TPU
The Julia Project · Programming languages & runtimes
Dynamically typed, JIT-compiled language for numerical and scientific computing that aims to combine high-level syntax with compiled-code speed
PyTorch Foundation (Linux Foundation) · Training & fine-tuning
Open-source deep-learning framework with eager tensors, autograd, torch.compile and distributed training, governed by the PyTorch Foundation and the base of most LLM tooling
R Foundation / R Core Team · Programming languages & runtimes
Language and environment for statistical computing and graphics, with the CRAN package archive and a strong base in academic statistics and econometrics
Posit Software, PBC · Mathematical & statistical computing
Posit's open-source integrated development environment for R, with console, editor, plots, environment panes, Quarto/R Markdown authoring and Python via reticulate
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