GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
DeepLearning doesn't have any public repositories yet. 0 contributions in the last year Contribution Graph Day of Week May May June Jun July Jul August Aug September Sep October Oct November Nov December Dec January Jan February Feb March Mar April Apr May May Sunday Sun Monday Mon Tu...
For the second stage, we adopted a model initialization step to address the cold start challenge in the next phase of semi-supervised learning. Here, the SDPP dataset (specifically refered to the participants without MRI scans from the SDPP cohort) was used to train the encoder and Stroke Pr...
In this work, we propose a multitask learning (MTL) framework DeepDTAGen, which performs both tasks (predicting DTA and generating novel drugs) simultaneously by using the common features (as the knowledge of ligand-receptor interaction) space for both functions as reflected in Fig.1. Minimizing ...
git clone https://github.com/allenai/s2orc-doc2json.git cd scripts bash run.sh 输出结果如下 代码语言:javascript 代码运行次数:0 运行 AI代码解释 outputs ├── Transformer │ ├── analyzing_artifacts │ ├── coding_artifacts │ └── planning_artifacts ...
传统预训练遭遇数据瓶颈(Ilya Sutskever称互联网数据如“化石燃料”),而自主获取经验(Online Learning) 成为新燃料;Claude 4连续7小时任务、o3自动学习YouTube字幕等案例,验证了环境交互式学习的必要性。 2、工程整合对模型能力的贡献量开始ramp up o3与Claude 4均未突破底层架构(依赖RL微调与混合训练),但通过工具链...
代码链接:https://github.com/sunblaze-ucb/Intuitor 参考链接: [1]https://x.com/joshclemm/status/1927400772817285264 [2]https://x.com/xuandongzhao/status/1927270931874910259 [3]https://x.com/xuandongzhao/status/192778163679341780 [4]https://arxiv.org/abs/2502.18581 本文来自微信公众号“量子位”,...
偶然在github上看到Awesome Deep Learning项目,故分享一下。其中涉及深度学习的免费在线书籍、课程、视频及讲义、论文、教程、网站、数据集、框架和其他资源,包罗万象,非常值得学习。 其中研究人员部分篇幅所限本文未整理进来。另外上面的GIF录制于MIT自动驾驶课程(MIT 6.S094: Deep Learning for Self-Driving Cars) ...
近年来,深度学习技术在多个工程领域取得了显著突破,特别是在疲劳与断裂分析中的应用。传统的疲劳分析方法依赖于物理模型和实验数据,然而,随着结构复杂性的增加和多物理场交互的挑战,传统方法的计算成本和准确性已无法满足高精度要求。深度学习通过强大的数据处理和模式识别能力,能够有效地从大量复杂数据中提取特征,进而提供...
传统预训练遭遇数据瓶颈(Ilya Sutskever称互联网数据如“化石燃料”),而自主获取经验(Online Learning) 成为新燃料;Claude 4连续7小时任务、o3自动学习YouTube字幕等案例,验证了环境交互式学习的必要性。 2、工程整合对模型能力的贡献量开始ramp up o3与Claude 4均未突破底层架构(依赖RL微调与混合训练),但通过工具链...