ncutpq's repositories
CUDA-code
cuda教程
CUDA-learn
学习CUDA编程
mfcc_optimization
Optimizing (Mel-Frequency Cepstral Coefficients) algorithm for embedded audio machine learning applications.
pytorch-speech-commands
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍，包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。
Qt6_Cplusplus-DevelopmentTutorialCode
自用 |《Qt6 C++ 开发指南》配套源码
Dataset
这个仓库用来收集分享我使用过的一些数据集
voxseg-pytorch
The Voxseg implementation in PyTorch. Voxseg is a python library for voice activity detection (VAD) for speech/non-speech segmentation.
Eyepetizer
🔥基于 Kotlin 语言仿写「开眼 Eyepetizer」的一个短视频 Android 客户端项目，采用 Jetpack + 协程实现的 MVVM 架构。
esp32
learn esp32
AutoDrone-px4
无人机自主飞行——PX4——湖南文理学院——HUASFLYLAB
CppGuide
「C/C++学习+面试指南」一份涵盖大部分 C++ 程序员所需要掌握的知识。入门、进阶、深入、校招、社招，准备 C++ 学习& 面试，首选 CppGuide！
robust-vad
Lightweight CNN for Robust Voice Activity Detection
fsmn-vad
A enterprise-grade Voice Activity Detector from modelscope and funasr.
CPlusPlusThings
C++那些事
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
FaceMask_Yolov4Tiny
FaceMask_Yolov4Tiny代码调试
Qt-Tutorial
笔者倾心打造的一套C/C++ Qt 图形化开发入门系列教程，带有完整案例与源代码。
LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
PytorchVAD
Code to train voice activity detection model with pytorch
yolov5_in_tf2_keras
YOLOv5 in TF2 > TFLite > ONNX > TensorRT
2022_CS231N
cs231n 2022 作业
yolov5-5.x-annotations
一个基于yolov5-5.0的中文注释版本！
CUDA-notes
高性能编程 笔记
Multispectral-Pedestrian-Detection-Resource
A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)