Alternatives and similar repositories for numpy_pytorch_interop

Users that are interested in numpy_pytorch_interop are comparing it to the libraries listed below

• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆323Updated this week
• suo / lintrunner
  ☆29Updated last month
• data-apis / array-api-tests
  Test suite for Python array API standard compliance
  ☆70Updated last month
• distdl / distdl
  ☆21Updated 3 years ago
• Jokeren / triton-samples
  ☆28Updated 11 months ago
• mila-iqia / milabench
  Repository of machine learning benchmarks
  ☆49Updated last month
• onnx / ir-py
  Efficient in-memory representation for ONNX, in Python
  ☆39Updated this week
• lianakoleva / no-libtorch-compile
  ☆21Updated 10 months ago
• meta-pytorch / tlparse
  TORCH_LOGS parser for PT2
  ☆70Updated last week
• NVIDIA / free-threaded-python
  No-GIL Python environment featuring NVIDIA Deep Learning libraries.
  ☆69Updated 8 months ago
• meta-pytorch / torchfix
  TorchFix - a linter for PyTorch-using code with autofix support
  ☆152Updated 4 months ago
• iree-org / iree-jax
  ☆55Updated last year
• nv-legate / legate.pandas
  An Aspiring Drop-In Replacement for Pandas at Scale
  ☆74Updated 4 years ago
• google / jaxonnxruntime
  A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.
  ☆127Updated 3 weeks ago
• FrancescoSaverioZuppichini / pytorch-2.0-benchmark
  Benchmarking PyTorch 2.0 different models
  ☆20Updated 2 years ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• cgarciae / einop
  ☆60Updated 3 years ago
• patrick-kidger / patdb
  A snappy + easy + pretty TUI debugger for Python.
  ☆69Updated 3 months ago
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆69Updated 3 weeks ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆81Updated last year
• spcl / npbench
  NPBench - A Benchmarking Suite for High-Performance NumPy
  ☆91Updated 3 weeks ago
• Quantco / ndonnx
  ONNX-backed array library that is compliant with the Array API standard.
  ☆66Updated this week
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated last year
• intel / intel-extension-for-openxla
  ☆53Updated last month
• sdpython / mlprodict
  Productionize machine learning predictions, with ONNX or without
  ☆66Updated last year
• AnswerDotAI / fasttransform
  Transform is the main building block of data pipelines in fastai. And elsewhere if you want.
  ☆31Updated last month
• groq / mlagility
  Machine Learning Agility (MLAgility) benchmark and benchmarking tools
  ☆40Updated 5 months ago
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated 2 years ago
• marin-community / haliax
  Named Tensors for Legible Deep Learning in JAX
  ☆215Updated 2 months ago
• gmarkall / life-of-a-numba-kernel
  Worked example of the process from Python source to CUDA kernel execution with Numba
  ☆44Updated last year