scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
基于深度学习的乳腺医学诊断
CNN可视化、理解CNN
实现摄像头的标定,双目摄像头的立体矫正、获取深度图和点云坐标,估计三维重建后的体积
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning Examples
YOLO model with 3D bounding box estimation
Learning multiview 3D point cloud registration
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。
在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下,众多行业迎来了前所未有的发展机遇,人工智能+无人机(AI+UAV)正是一个具有无限想象力的应用方向。杭州启飞智能科技有限公司深耕无人机及人工智能领域多年,拥有完善的软硬件平台、海量数据资源(飞行数据及农田地理信息数据)及众多资深专家团队,正在努力地开拓AI+UAV在科技+农业的行业应用,欢迎加入
A ROS package tool to analyze the IMU performance.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
This research aims at simply deploying deeplearning on mobile and embedded devices, with low complexity and high speed. old name mobile deep learning.
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
嗨!thesis!哈尔滨工业大学毕业论文LaTeX模板
Deep Learning Book Chinese Translation
A collection of various deep learning architectures, models, and tips
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
Convert https://pjreddie.com/darknet/yolo/ into pytorch
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
PANet for Instance Segmentation and Object Detection
Multi-View 3D Object Detection Network for Autonomous Driving
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输:绝影】
Frustum PointNets for 3D Object Detection from RGB-D Data
:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.