Pinned Repositories
A-Simple-Chinese-License-Plate-Generator-and-Recognition-Framework
A simple code for creating licence plate images and train e2e network
AgileLightning
A deep learning framework for a more agile development process
ARM_NEON_2_x86_SSE
The platform independent header allowing to compile any C/C++ code containing ARM NEON intrinsic functions for x86 target systems using SIMD up to SSE4 intrinsic functions
ATSS
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Awesome-model-compression-and-acceleration
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Awesome-Pruning
A curated list of neural network pruning resources.
awesome-vscode
🎨 A curated list of delightful VS Code packages and resources.
mzpmzk's Repositories
mzpmzk/ConvNeXt-V2
Code release for ConvNeXt V2 model
mzpmzk/ctcdecode
PyTorch CTC Decoder bindings
mzpmzk/CV-CUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
mzpmzk/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
mzpmzk/KuiperInfer
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
mzpmzk/Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
mzpmzk/mmyolo_tensorrt
mzpmzk/multi-thread-programming
This is a repository to practice multi-thread programming in C++
mzpmzk/my_dot_files
There are some useful dotfiles that I used for everyday :)
mzpmzk/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
mzpmzk/OccNet-Course
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 课程主页：http://111.229.117.200:7001/
mzpmzk/OCR_DataSet
收集并整理有关OCR的数据集并统一标注格式，以便实验需要
mzpmzk/ollama
Get up and running with Llama 2, Mistral, Gemma, and other large language models.
mzpmzk/opencv-mobile
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
mzpmzk/Paddle2ONNX
ONNX Model Exporter for PaddlePaddle
mzpmzk/PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
mzpmzk/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
mzpmzk/pytorch-model-train-template
pytorch单精度、半精度、混合精度、单卡、多卡（DP / DDP）、FSDP、DeepSpeed模型训练代码，并对比不同方法的训练速度以及GPU内存的使用
mzpmzk/SeetaFace2
SeetaFace 2: open source, full stack face recognization toolkit.
mzpmzk/TensorRT-YOLO
🚀 TensorRT-YOLO: Support YOLOv5, YOLOv8, YOLOv9, PP-YOLOE using TensorRT acceleration with EfficientNMS!
mzpmzk/TensorRT-YOLOv9
Cpp and python implementation of YOLOv9 using TensorRT API
mzpmzk/tensorrt_starter
This repository give a guidline to learn CUDA and TensorRT from the beginning.
mzpmzk/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
mzpmzk/trt-samples-for-hackathon-cn
Simple samples for TensorRT programming
mzpmzk/UCMCTrack
[AAAI 2024] UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. UCMCTrack ranks first on MOT17 without using any appearance cues.
mzpmzk/video_pipe_c
跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星：）。
mzpmzk/YOLO-Tutorial-v2
mzpmzk/yolov10
YOLOv10: Real-Time End-to-End Object Detection
mzpmzk/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
mzpmzk/yolov9-bytetrack-tensorrt
Integration of YOLOv9 with ByteTracker