#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
#计算机科学#Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-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
#Awesome#Anomaly detection related books, papers, videos, and toolboxes
#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
#计算机科学#A library of extension and helper modules for Python's data analysis and machine learning libraries.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
#计算机科学#Unsupervised Learning for Image Registration
#计算机科学#PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
#学习与技能提升#A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
#时序数据库#Algorithms for outlier, adversarial and drift detection
#计算机科学#A curated list of community detection research papers with implementations.
#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)
#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.)