Pinned Repositories
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Bo_Li.github.io
c
保存一下大一c语言的一些代码和作业
Credit-Card-Transaction-Fraud-Detection
CS106L
CS106L : Standard C++ Programming Course
csrnet_fusion
free-programming-books
:books: Freely available programming books
Markdown
poem_learning_platform
python
primerL's Repositories
primerL/Markdown
primerL/CS106L
CS106L : Standard C++ Programming Course
primerL/free-programming-books
:books: Freely available programming books
primerL/poem_learning_platform
primerL/-
primerL/Bo_Li.github.io
primerL/c
保存一下大一c语言的一些代码和作业
primerL/Credit-Card-Transaction-Fraud-Detection
primerL/csrnet_fusion
primerL/python
primerL/curriculum_design
💻大学时的主要课程设计，包括【OOP(C++)-面向对象课程设计：教室管理系统】、【程序设计实践课程设计：小型超市库存与销售管理系统】、【操作系统课程设计：动态分区分配设计与实现】、【数据结构课程设计：基于哈希表的通讯录系统】、【软件体系结构课程设计：基于 C/S 架构的聊天室设计与实现】、【JavaEE课程设计：在线课堂管理平台的设计与实现】
primerL/DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
primerL/DataStructures-Algorithms-1
This repo contains links of resources, theory subjects content and DSA questions & their solution for interview preparation from different websites like geeksforgeeks, leetcode, etc.
primerL/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
primerL/frozen-in-time
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]
primerL/ics
primerL/markets-managment
c++ markets managment
primerL/MedicineManagment
简易版医院药品管理系统，包括药品的售卖统计、库存统计、过期药品处理、订单生成等。
primerL/missing-semester-cn.github.io
the CS missing semester Chinese version
primerL/nlp-beginner
NLP上手教程
primerL/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
primerL/pj-for-ics
primerL/primerL.github.io
The Minimum Viable Model website and Jekyll theme.
primerL/Python-1
最良心的 Python 教程：
primerL/qt-mine-sweeping
primerL/Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
primerL/UCB-CS70
discrete mathematics and probability theory
primerL/VendingSystem
使用qt开发的智能售货系统（饮料售卖机）。
primerL/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