emotion271's Stars
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
redis/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
ocornut/imgui
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
huihut/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.
chenfei-wu/TaskMatrix
jaywcjlove/linux-command
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
nothings/stb
stb single-file public domain libraries for C/C++
wangzhiwubigdata/God-Of-BigData
专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
Kitware/CMake
Mirror of CMake upstream repository
balloonwj/CppGuide
C/C++学习,后端开发进阶指南。
xiaoweiChen/CPP-Concurrency-In-Action-2ed-2019
:book: 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。
logcabin/logcabin
LogCabin is a distributed storage system built on Raft that provides a small amount of highly replicated, consistent storage. It is a reliable place for other distributed systems to store their core metadata and is helpful in solving cluster management issues.
NVIDIA-Merlin/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
yaohungt/Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
juho-lee/set_transformer
Pytorch implementation of set transformer
SamuraiT/mecab-python3
:snake: mecab-python. you can find original version here:http://taku910.github.io/mecab/
AemikaChow/DATASOURCE
zzaebok/KGCN-pytorch
KGCN pytorch model implementation
easezyc/WSDM2022-PTUPCDR
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
ansible-collections/community.network
Ansible Community Network Collection
FLAIR-THU/CreamFL
[ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble
ansible-collections/junipernetworks.junos
Ansible Network Collection for Juniper JunOS
wenyuer/POG
the datasets of the paper POG
lzcn/Fashion-Hash-Net
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
Redaimao/awesome-multimodal-sequence-learning
Reading list for multimodal sequence learning
H3C/h3c_open.comware
ansible network plugins for H3C comware switches
uditarora/fashion-product-classification
Classification of fashion product images using transfer learning techniques
kartikchaudhari/XLMiner
Working With XLMiner Toolkit on Office 365 or into MS Office using these Datasets