Chuanhao1999's starred repositories
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
ControlNet
Let us control diffusion models!
reverse-interview-zh
技术面试最后反问面试官的话
Llama-Chinese
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用
Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
CodingInterviewsNotes
涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统(进程、线程、内存管理、信号)计算机网络、 数据结构(排序、查找)、数据库、、C++对象模型、 设计模式、算法(《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》)、面试题、嵌入式相关等
CUDALibrarySamples
CUDA Library Samples
ConvNeXt-V2
Code release for ConvNeXt V2 model
trt-samples-for-hackathon-cn
Simple samples for TensorRT programming
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,).
DLInterview
Deep Learning Interview 深度学习面试题目汇总
OpenMMLabCourse
OpenMMLab course index and stuff
TransFusion
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
BEVFormer_tensorrt
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
interview_back_end
Linux C/C++ 后台开发 面试题目
bevdet-tensorrt-cpp
BEVDet implemented by TensorRT, C++; Achieving real-time performance on Orin
learning-cuda-trt
A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt
MMDet3d-CenterPoint
CenterPoint model trained with MMDetection3d on custom dataset, and deployed with TensorRT
multi-sensor_calibration_evaluation
This project studies the evaluation indicators of joint calibration of lidar and camera, and also includes some research on camera distortion parameters.