Alternatives and similar repositories for tvm

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

• uxlfoundation / oneDNN
  oneAPI Deep Neural Network Library (oneDNN)
  ☆3,830Updated this week
• onnx / onnx
  Open standard for machine learning interoperability
  ☆19,234Updated this week
• pytorch / glow
  Compiler for Neural Network hardware accelerators
  ☆3,312Updated last year
• halide / Halide
  a language for fast, portable data-parallel computation
  ☆6,124Updated this week
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,531Updated last week
• triton-lang / triton
  Development repository for the Triton language and compiler
  ☆16,114Updated this week
• NVIDIA / TensorRT
  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…
  ☆11,828Updated this week
• triton-inference-server / server
  The Triton Inference Server provides an optimized cloud and edge inferencing solution.
  ☆9,443Updated this week
• google / XNNPACK
  High-efficiency floating-point neural network inference operators for mobile, server, and Web
  ☆2,060Updated this week
• NVIDIA / cutlass
  CUDA Templates for Linear Algebra Subroutines
  ☆7,808Updated this week
• NVIDIA / DALI
  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…
  ☆5,457Updated this week
• NVIDIA / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆6,231Updated last year
• iree-org / iree
  A retargetable MLIR-based machine learning compiler and runtime toolkit.
  ☆3,209Updated this week
• google / gemmlowp
  Low-precision matrix multiplication
  ☆1,809Updated last year
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,341Updated this week
• onnx / models
  A collection of pre-trained, state-of-the-art models in the ONNX format
  ☆8,793Updated 2 weeks ago
• bytedance / byteps
  A high performance and generic framework for distributed DNN training
  ☆3,683Updated last year
• onnx / tutorials
  Tutorials for creating and using ONNX models
  ☆3,565Updated 11 months ago
• apache / mxnet
  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…
  ☆20,805Updated last year
• facebookincubator / AITemplate
  AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…
  ☆4,655Updated 3 months ago
• microsoft / onnxruntime
  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
  ☆17,136Updated this week
• tensorflow / mlir
  "Multi-Level Intermediate Representation" Compiler Infrastructure
  ☆1,750Updated 4 years ago
• NVIDIA / nccl
  Optimized primitives for collective multi-GPU communication
  ☆3,848Updated 3 weeks ago
• XiaoMi / mace
  MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
  ☆5,012Updated last year
• daquexian / onnx-simplifier
  Simplify your onnx model
  ☆4,114Updated 10 months ago
• cupy / cupy
  NumPy & SciPy for GPU
  ☆10,323Updated this week
• Tencent / PocketFlow
  An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
  ☆2,906Updated 2 years ago
• pytorch / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆91,472Updated this week
• lutzroeder / netron
  Visualizer for neural network, deep learning and machine learning models
  ☆30,800Updated this week
• OpenMathLib / OpenBLAS
  OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
  ☆6,857Updated this week