Training Compute-Optimal Large Language Models 170 - ZeRO: Memory Optimizations Toward Training Trillion Parameter Models 171 - PaLM: Scaling Language Modeling with Pathways 172 - <
annoted_deep_learning_paper_implementations Annotated Deep Learning Paper Implementations 深度学习的快速发展已引领了人工智能的新浪潮,其中学术论文与实践代码的结合对于技术的推广和应用至关重要。许多研究者不仅发表理论成果,还公开了其实验代码,使得后来者能更快地上手、复现结果并在此基础上进行创新。 近年来,诸如...
labml.ai Deep Learning Paper Implementations This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, The website renders these as side-by-side formatted notes. We believe these would help you understand the...
annotated_deep_learning_paper_implementations 深度学习论文的实现集合 HelloGitHub 评分 0 人评分 过去7 天共收获 175 颗 Star ✨ 访问 点赞5 开源•MIT 认领 讨论 60.3k 星数 否 中文 Python 主语言 否 活跃 38 贡献者 36 Issues 是 组织
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Paper Deep Learning Model Security: Threats and Defenses Deep learning has transformed AI applications but faces critical security challenges, including adversarial attacks, data poisoning, model theft, and privacy leakage. This survey examines these vulnerabilities, detailing their mechanisms and impact on...
Paper tables with annotated results for DeepFilter: an ECG baseline wander removal filter using deep learning techniques
The research work presented in this paper aims at developing a well-annotated sketch dataset of 3D Engineering CAD models, that can aid in the development of deep learning-based search engines for 3D CAD models, using a sketch image as the input query. Using a sketch-based query for the se...