honlu
Follow
Pyhon|学习
《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
《利用Python进行数据分析·第2版》
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。
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。
python 数据结构与算法 leetcode 算法题与书籍 刷算法全靠套路与总结！Crack LeetCode, not only how, but also why.
后端面试题汇总（Python、Redis、MySQL、PostgreSQL、Kafka、数据结构、算法、编程、网络）
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org