500 AI Machine learning Deep learning Computer vision NLP Projects with code pythonnlpdata-sciencemachine-learningawesomecomputer-visiondeep-learningartificial-intelligencenlp-projectsmachine-learning-projectsartificial-intelligence-projectscomputer-vision-projectdeep-learning-project ...
githut 地址:https://github.com/salesforce/LAVIS/tree/main/projects/instructblip 论文动机: 第一,不开源。 第二,数据安全。 第三,算力需求大。 论文方法: InstructBLIP 通过充分利用BLIP-2模型中的Q-Former架构,提出了一种指令感知的视觉特征提取方法。 根据BLIP-2的论文,Q-Former已经分成两个阶段进行了...
与此和相关项目的更多信息可以在 http: //research.microsoft.com/en-us/projects/convo/ 上找到。 文件大小:245.46 KB 文件类型:txt 许可证:微软研究数据 许可协议:微软研究数据许可协议 上次修改时间:6/21/18 类别:社会科学,社交媒体等 详细信息:
Prompt-learning 是将预训练语言模型 (PLM) 应用于下游 NLP 任务的最新范式,它用文本模板修改输入文本,直接使用 PLM 进行预训练的任务
The NLP Libraries and toolkits are generally available in Python, and for this reason by far the majority of NLP projects are developed in Python. Python’s interactive development environment makes it easy to develop and test new code.
The NLP Libraries and toolkits are generally available in Python, and for this reason by far the majority of NLP projects are developed in Python. Python’s interactive development environment makes it easy to develop and test new code. Java and C++: For processing large amounts of data, C++...
Resource:https://github.com/HazyResearch/augmentation_code 数据集 [1] Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets Paper:http://proceedings.mlr.press/v97/cornish19a/cornish19a.pdf Resource:https://github.com/12qu/smh ...
learning_rate_schedulerType of learning rate scheduler.Must choose fromlinear, cosine, cosine_with_restarts, polynomial, constant, constant_with_warmup. model_nameName of one of the supported models.Must choose frombert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_...
pdb Learn how to debug in Python with the interactive source code debugger. unit tests Learn how to test in Python with Nose unit tests.kaggle-and-business-analysesIPython Notebook(s) used in kaggle competitions and business analyses.Note
“source language”, whereas the set of reactants is written in the “target language”. For the “reaction translation” task both languages, however, are SMILES strings, having the same alphabet and grammar. The first works on symbolic (retro)synthesis12,15were carried out with Seq2Seq16...