Alternatives and similar repositories for tvm

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

• onnx / onnx
  Open standard for machine learning interoperability
  ☆19,933Updated this week
• triton-lang / triton
  Development repository for the Triton language and compiler
  ☆17,668Updated this week
• uxlfoundation / oneDNN
  oneAPI Deep Neural Network Library (oneDNN)
  ☆3,921Updated last week
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,628Updated 3 weeks ago
• pytorch / glow
  Compiler for Neural Network hardware accelerators
  ☆3,318Updated last year
• NVIDIA / TensorRT
  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…
  ☆12,403Updated 2 weeks ago
• microsoft / onnxruntime
  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
  ☆18,442Updated last week
• iree-org / iree
  A retargetable MLIR-based machine learning compiler and runtime toolkit.
  ☆3,467Updated last week
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,714Updated this week
• NVIDIA / DALI
  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…
  ☆5,562Updated this week
• NVIDIA / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆6,355Updated last year
• NVIDIA / nccl
  Optimized primitives for collective multi-GPU communication
  ☆4,258Updated 2 weeks ago
• triton-inference-server / server
  The Triton Inference Server provides an optimized cloud and edge inferencing solution.
  ☆10,060Updated this week
• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆34,051Updated last week
• daquexian / onnx-simplifier
  Simplify your onnx model
  ☆4,232Updated 3 months ago
• onnx / tutorials
  Tutorials for creating and using ONNX models
  ☆3,628Updated last year
• merrymercy / awesome-tensor-compilers
  A list of awesome compiler projects and papers for tensor computation and deep learning.
  ☆2,679Updated last year
• NVIDIA / cutlass
  CUDA Templates and Python DSLs for High-Performance Linear Algebra
  ☆8,828Updated last week
• microsoft / MMdnn
  MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…
  ☆5,816Updated 3 months ago
• openvinotoolkit / openvino
  OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
  ☆9,247Updated this week
• onnx / models
  A collection of pre-trained, state-of-the-art models in the ONNX format
  ☆9,222Updated 2 months ago
• facebookincubator / AITemplate
  AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…
  ☆4,695Updated last month
• lutzroeder / netron
  Visualizer for neural network, deep learning and machine learning models
  ☆31,890Updated this week
• bytedance / byteps
  A high performance and generic framework for distributed DNN training
  ☆3,712Updated 2 years ago
• apache / mxnet
  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…
  ☆20,827Updated 2 years ago
• google / XNNPACK
  High-efficiency floating-point neural network inference operators for mobile, server, and Web
  ☆2,176Updated last week
• google / gemmlowp
  Low-precision matrix multiplication
  ☆1,816Updated last year
• NVIDIA / Megatron-LM
  Ongoing research training transformer models at scale
  ☆14,301Updated this week
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,854Updated last week
• pytorch / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆95,408Updated this week