llm-export can export llm model to onnx.

A rule-based tunnel in Go.

LLM inference in C/C++

Running large language models on a single GPU for throughput-oriented scenarios.

llm deploy project based mnn.

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

To instruct edge engineers to deploy neuro networks on edge devices.

To instruct edge engineers to deploy neuro networks on edge devices.

The Tensor Algebra SuperOptimizer for Deep Learning

Python library to work with the Visual Wake Words Dataset.

Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TensorFlow documentation

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

A C++ Implementation of Neural Network Engine

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

The course project for tinyml

This is the final project for Reinforcement Learning (RL)

OpenPose uses Pytorch for static quantization, saving, and loading of models

pytorch implementation of Domain-Adversarial Training of Neural Networks

CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild (CVPR2022)

the sentiment analysis

Ultralytics YOLO11 🚀

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite