Alternatives and similar repositories for model-explorer-onnx

Users that are interested in model-explorer-onnx are comparing it to the libraries listed below

• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆418Updated this week
• onnx / neural-compressor
  Model compression for ONNX
  ☆99Updated last year
• onnx / ir-py
  Efficient in-memory representation for ONNX, in Python
  ☆41Updated this week
• justinchuby / onnx-safetensors
  Use safetensors with ONNX 🤗
  ☆81Updated last week
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆291Updated last month
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆423Updated last month
• google-ai-edge / ai-edge-quantizer
  AI Edge Quantizer: flexible post training quantization for LiteRT models.
  ☆88Updated this week
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆48Updated 5 months ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆170Updated last week
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆185Updated this week
• vllm-project / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆233Updated this week
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆115Updated 11 months ago
• bertmaher / llama2.so
  Inference Llama 2 with a model compiled to native code by TorchInductor
  ☆14Updated last year
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆434Updated last month
• triton-inference-server / pytorch_backend
  The Triton backend for the PyTorch TorchScript models.
  ☆170Updated this week
• meta-pytorch / tlparse
  TORCH_LOGS parser for PT2
  ☆70Updated 2 weeks ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• meta-pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆182Updated last month
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆325Updated last week
• staghado / vit.cpp
  Inference Vision Transformer (ViT) in plain C/C++ with ggml
  ☆305Updated last year
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆26Updated 6 months ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆114Updated 2 years ago
• ROCm / pyrsmi
  python package of rocm-smi-lib
  ☆24Updated last month
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆87Updated this week
• hidet-org / hidet
  An open-source efficient deep learning framework/compiler, written in python.
  ☆739Updated 4 months ago
• intel / intel-xpu-backend-for-triton
  OpenAI Triton backend for Intel® GPUs
  ☆223Updated this week
• masahi / torchscript-to-tvm
  ☆68Updated 2 years ago
• pytorch / test-infra
  This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …
  ☆105Updated this week
• octoml / relax
  A fork of tvm/unity
  ☆14Updated 2 years ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆124Updated last year