FogOfEvil's starred repositories
CppTemplateTutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
cmake-examples
A collection of as simple as possible, modern CMake projects
SADE-AgnosticLT
This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition (NeurIPS 2022).
cs-self-learning
计算机自学指南
Awesome-of-Long-Tailed-Recognition
A curated list of long-tailed recognition resources.
Unofficial-Pix2Seq
Unofficial implementation of Pix2SEQ
awesome-cpp-cn
C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。
TinyWebServer
:fire: Linux下C++轻量级WebServer服务器
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.
SceneGraphParser
A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).
kubernetes
Production-Grade Container Scheduling and Management
Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
lihang-code
《统计学习方法》的代码实现
what-happens-when-zh_CN
What-happens-when 的中文翻译,原仓库 https://github.com/alex/what-happens-when
SparseR-CNN
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
VQA2.0-Recent-Approachs-2018.pytorch
A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0
LXMERT-AdvTrain
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": LXMERT adversarial training part