#计算机科学#100-Days-Of-ML-Code中文版
#计算机科学#VIP cheatsheets for Stanford's CS 229 Machine Learning
翻译 - 斯坦福大学CS 229机器学习的VIP速查表
#计算机科学#Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
翻译 - Everything about Transfer Learning and Domain Adaptation--迁移学习
#计算机科学#A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
#计算机科学#A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
翻译 - 用于可扩展离群值检测(异常检测)的Python工具箱
#Awesome#Anomaly detection related books, papers, videos, and toolboxes
翻译 - 与异常检测相关的书籍,论文,视频和工具箱
#计算机科学#A library of extension and helper modules for Python's data analysis and machine learning libraries.
翻译 - 一个扩展和帮助程序模块库,用于Python的数据分析和机器学习库。
#计算机科学# Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
翻译 - SimCLRv2-大型自我监督模型是强大的半监督学习者
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
翻译 - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
翻译 - 自我监督学习工具箱和基准
#计算机科学#Unsupervised Learning for Image Registration
翻译 - 图像配准的无监督学习
#学习与技能提升#A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
#计算机科学#A curated list of community detection research papers with implementations.
翻译 - 精选的社区检测研究论文及其实现。
#计算机科学#PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
#时序数据库#Algorithms for outlier, adversarial and drift detection
#自然语言处理# A curated list of pretrained sentence and word embedding models
#计算机科学#Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
翻译 - 通用社区检测和网络嵌入库,用于基于NetworkX构建的研究。
#计算机科学#An unsupervised learning framework for depth and ego-motion estimation from monocular videos
#Awesome#Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)