There are 2 repositories under mechine-learing topic.
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
A free weekly newsletter featuring noteworthy articles, tutorials, open-source projects, podcasts, videos, trending topics, and more.Python 潮流周刊,分享文章、教程、开源项目、软件工具、播客和视频、热门话题等内容。
Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.
GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets
文本相似度(匹配)计算,提供Baseline、训练、推理、指标分析...代码包含TensorFlow/Pytorch双版本
收集深度学习相关的awesome 资源列表,欢迎补充
Auto Attendance System Using Real Time Face Recognition With Various Computer Vision & Machine Learning Tools
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
This is my study notes for my PhD in AI, NLP, IR, and more.
Pytorch implementations of Elastic Weight Consolidation (EWC)
My labs in college of CS and some interesting projects at HUST.
data analysis homework based on machine learning
天池项目:新浪微博互动预测
A Simple and intuitive deep learning library with high-efficiency, modularization and expandability.
Dynamic Weight Assignment and Context-Aware Active Domain Adaptation for Semantic Segmentation
Code of my Master Thesis
为了深入了解一些机器学习算法,把一些经典算法的代码都过一遍。包括决策树、集成学习(Adaboost、GBDT、XgBoost、RandomForest)、支持向量机、EM算法(GMM)、极大似然估计、降维算法(PCA、LDA、T-SNE)、聚类算法(K-Mean)、kNN。
🚂 generate colors that you really love with neural network
keyword Extractort & vectorizer and doc vectorizer & similarity