apache-tvm

Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, PaddlePaddle, etc.

This repository contains the code for training YOLOv5, YOLOv7, and YOLOv8 models for object detection using Python 3. Optimization of models with OpenVINO and Apache TVM, and tracking with ByteTrack and yolov8-pose.

compilation with optimization and code generation that can take neural network inference requests and divide the load between classical hardware and novel photonic hardware.

Optimizing RetinaFace inference using TVM.

OctoAI — independent third-party profile of a public API surface, by API Evangelist. OctoAI (formerly OctoML) was a Seattle-based AI inference platform founded in 2019 as a University of Washington Allen School spin-out of the Apache TVM project. The company originally focused on machine-learning model optimization and compilation across CPUs, GPUs

Experiments using Machine Learning Compilers to improve Seismic Attributes computation

Compiler-level analysis of TVM quantization: int8 dispatch, low-bit failures, LLVM codegen, and cross-architecture performance.

Adaptive transfer memory for low-budget CPU matmul tuning, with 1.188x compiled runtime speedup over Reasoning Compiler

Machine Learning Compilers

This repository contains the codebase for optimizing a Vision to Text model on a target RTX3060 device using Apache TVM