cvbuff Goto Github PK

360-surround-view-cuda

10000 fps 🚀 for 360 Surround-View CUDA Solution

alili.tech

前端大爆炸! - WEB BANG! BANG!! BANG!!!

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

benchmarking-chinese-text-recognition

This repository contains datasets and baselines for benchmarking Chinese text recognition.

cloudreve

🌩支持多家云存储的云盘系统 (Self-hosted file management and sharing system, supports multiple storage providers)

cplusplus

✔️最全面的 C++ 笔记 【黑马程序员】

cuda_fisheye_undistort

cv

✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】

cvbuff.github.io

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

darknet

Convolutional Neural Networks

deepstream-pose

pose estimation code with deepstream and yolo-pose

deepstream-yolo

NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

dl_model_deploy

fastllm

纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llama, moss基座，手机端流畅运行

langup-ai

AGI 社交网络 Bot. BiliBili | 直播聊天数字人 | 视频@自动回复 | 私信bot | 终端聊天 | 语音交互

learning-cuda-trt

libfuzzer

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

license_plate_detection_pytorch

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

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,).

lidar_camera_calibrator

ROS package to calibrate the extrinsic parameters between LiDAR and Camera.

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

llm.c

LLM training in simple, raw C/CUDA

machinelearningwithpython

Write Machine Learning Algorithms With Python

ml-python

nineone_ui

numcpp

C++ implementation of the Python Numpy library

opencv

Open Source Computer Vision Library

openwork

有空就写点，没空就空着。