nii's repositories
armnn
Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
caffe2onnx
caffe model to onnx
ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
CPlusPlusThings
C++那些事
cpuinfo
CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
develop-reference-data
一些常用的开发文档
ethos-n-driver-stack
Driver stack (including user space libraries, kernel module and firmware) for the Arm® Ethos™-N NPU
folly
An open-source C++ library developed and used at Facebook.
k8s-device-plugin
NVIDIA device plugin for Kubernetes
linux-kernel
The patch for the kernel bug
LUNA16demo
LUng Nodule Analysis 2016
mlc-llm
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
onnx-simplifier
Simplify your onnx model
onnx-tensorrt
ONNX-TensorRT: TensorRT backend for ONNX
OpenCL-SDK
OpenCL SDK
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
rt-thread
RT-Thread is an open source IoT operating system.
rtthread-manual-doc
RT-Thread Programming Manual in English
TencentOS-tiny
腾讯物联网终端操作系统
TensorRT
NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.
The-C-programme
These notes are achieved form the book called the C programme, and my ideas in the study;
TrafficLightsDemo
Manual realization of a traffic light function module
tutorials
Tutorials for using ONNX
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
UniAD
[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection