zzq1016 Goto Github PK
Type: User
zzq1016's Projects
2018-ccf-bdci-alibaba-3dpoint-cloud-segmentation
2018 CCF大数据与计算智能大赛自动驾驶三维点云分割复赛第四方案
3dod_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
alfred
alfred-py: A deep learning utility library for visualization and sensor fusion purpose
algorithmsbypython
算法/数据结构/Python/剑指offer/机器学习/leetcode
algs4
Algorithms, 4th edition textbook code and libraries
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
apollo-data-visualization
Analysis and visualization of dataset published by Apollo
apollo_perception_ros
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
awesome-algorithm
LeetCode, HackRank, 剑指offer, classic algorithm implementation
awesome-autonomous-vehicle
无人驾驶的资源列表中文版
awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
awesome-point-cloud-processing
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
coding-interview-university
A complete computer science study plan to become a software engineer.
complex-yolo
Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
complex_yolo_3d
Complex YOLO with Uncertainty
cookbook
Companion files to the q cookbook
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
cpp-cheatsheet
Modern C++ Cheatsheet
cppcoreguidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
data-science-blogs
A curated list of data science blogs
deep-semantic-similarity-model
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
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，近30万字。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
deeplearning-assignment
吴恩达-深度学习-课后作业-答案与总结
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
deeplearningbook-chinese
Deep Learning Book Chinese Translation
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
ee5611_project
Machine Learning for Wireless communications course project on Sequential Convolutional Recurrent Neural Networks for fast automatic modulation classification.
elki
ELKI Data Mining Toolkit
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