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LangChain 的中文入门教程
suywang / code-roadmap
Forked from liyupi/codefather原创编程学习路线，包括全面的知识点、免费资源、面试题、学习建议、项目，适用于所有学习编程、求职的同学。已完成 Java、前端
Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)
🦜🔗 Build context-aware reasoning applications
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A curated list of awesome transformer models.
A Deep Learning Based Decoder for Concatenated Coding over Deletion Channels (IEEE International Conference on Communications, June 2024)
Codec for DNA data storage able to correct substitutions, deletions, insertions and fragment loss with constraint adherence.
HEDGES Error Correcting Code for Engineered DNA, Fixes Error Substitutions, Deletions, and Insertions
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Gemini 中文版：Gemini 2.5 Pro 国内使用指南~（支持 Gemini-2.5-pro，无需翻墙）【2025年更新】
Python implementation of Varshamov-Tenengolts codes for correction of single insertion/deletion errors
CNN经典网络结构复现：LeNet5、AlexNet、VGG、ResNet、InceptionNet等。
本项目基于经典的 Iris 数据集，利用支持向量机（SVM）算法构建分类模型，旨在对鸢尾花的三种不同类别进行分类。通过本项目，展示了机器学习模型从数据预处理、特征分析、模型训练到模型评估的完整流程，并为未来的模型优化和预测提供了基础。
kaggle经典项目——房价预测，private榜top13%
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
Implementation of cats-vs-dogs based on CNN.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
scikit-learn: machine learning in Python
An Open Source Machine Learning Framework for Everyone