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BlueRingsLabs
发现模型训练、评估与推理框架,比较深度学习和机器学习项目的社区关注度。
BlueRingsLabs
Bodhi42
brainglobe
Automated 3D cell detection in very large images
cafferychen777
calebevans
Reduce logs to their semantic anomalies
Calix-L
centre-for-humanities-computing
chamanthmvs
It is a project of detecting phishing websites which are main cause of cyber security attacks. It is done using Machine learning with Python
christopherkarani
Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime
ClaudiuGeorgiu
Confusezius
Curated-Awesome-Lists
Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!
cvg
d2l-ai
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
Daniil-Osokin
darkanita
datawhalechina
LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程,覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。
DCBIA-OrthoLab
deep-learning-indaba
DeepKnowledge1
DeepTrackAI
Deeplay is a deep learning library in Python that extends PyTorch with additional functionalities focused on modularity and reusability.
deepVector
dermatologist
FHIR to pandas dataframe for data analytics, AI and ML!

本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势,无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.