链接, 密码: x1xO
链接, 密码: BlZa
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汇报1：Google GFS
汇报2：HDFS
汇报3：NoSQL: IBM, Oracle, Memcached
汇报4：BigTable: Bigtable: A Distributed Storage System for Structured Data
汇报5：Survey of Distributed File System Design Choices, Ceph
汇报6：RAID
汇报7：文件IO API
汇报8：ZeroCopy: Efficient data transfer through zero copy;
Design and Implementation of Zero-Copy for Linux
汇报9：MapReduce：simplified data processing on large clusters, 实验
汇报10：完美Hash
汇报11：线性时间排序: 主材料, 备用材料
- 深度大数据技术
汇报12：机器学习技术，课程，Introduction to Machine Learning
汇报13：ML for Big Data
汇报14：论文，课程, 深度学习简介，运行环境安装
汇报15：Deep residual learning for image recognition
汇报16：Encoder-decoder with atrous separable convolution for semantic image segmentation
汇报17：Transfer Learning，A Comprehensive Survey on Transfer Learning
汇报18：GAN PPT，GAN介绍，Generative Adversarial Networks
汇报19：深度大模型基础
汇报20：Transformer, Attention Is All You Need
汇报21：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
汇报22：Diffusion Models, Diffusion Models Beat GANs on Image Synthesis, Diffusion Models: A Comprehensive Survey of Methods and Applications
汇报23：开端：Language Models are Few-Shot Learners
汇报24：演化（问答系统）：LaMDA: Language Models for Dialog Applications, WebGPT: Browser-assisted question-answering with human feedback, Improving alignment of dialogue agents via targeted human judgements, Improving Language Models by Retrieving from Trillions of Tokens
汇报25：现状：Scaling Language Models: Methods, Analysis & Insights from Training Gophe, PaLM: Scaling Language Modeling with Pathways
商汤公开课
汇报26：开端：ViT Vision Transformer, Swin Transformer, VMODE
汇报27：现状：CoAtNet, CoCa
汇报28：通用模型架构：商汤INTERN, 百度文心UFO 2.0, 华为盘古CV大模型
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大数据基础
海量跨媒体分析
lyx: http://www.lyx.org |