visual-openllm/visual-openllm: something like visual-chatgpt, 文心一言的开源版 Format Deploy Toolkit Releases No releases published Packages No packages published Contributors2 hscspringYam(长琴) dependabot[bot]
20newsgroup数据集是机器学习中的一个标准数据集。它包含18828个文档,来自于20个不同的新闻组。如果把每个新闻组看作是一个簇,那么很容易测试出我们寻找相关文档的方法是否有效。
⭐ SentAugment Data augmentation by retrieving similar sentences from larger datasets [GitHub, 363 stars] ⭐ TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 2922 stars] ⭐ skweak - software toolkit for weak supervision applied to NLP tasks...
We then load the iris data from Scikit-learn and store it in a pandas data frame: from sklearn.datasets import load_iris data = load_iris() df = pd.DataFrame(data.data,columns=data.feature_names) df['target'] = pd.Series(data.target) Finally, we print the first five rows of data...
These intermediate machine learning projects focus on data processing and training models for structured and unstructured datasets. Learn to clean, process, and augment the dataset using various statistical tools. 6. Reveal Categories Found in Data The Reveal Categories Found in Data project helps you...
sklearn-doc/examples/datasets/plot_random_dataset.py /usr/share/doc/python-sklearn-doc/examples/datasets/plot_random_multilabel_dataset.py /usr/share/doc/python-sklearn-doc/examples/decomposition/README.txt /usr/share/doc/python-sklearn-doc/examples/decomposition/plot_faces_decomposition.py /usr/...
20newsgroup数据集是机器学习中的一个标准数据集。它包含18828个文档,来自于20个不同的新闻组。如果把每个新闻组看作是一个簇,那么很容易测试出我们寻找相关文档的方法是否有效。 数据集机器学习2020-09-25 上传大小:13.00MB 所需:37积分/C币 已预处理 NLP 英文语料库 新闻组 20_Newsgroup(单标签英文平衡语料...
(>1 billion parameters), generative models pretrained on large, non-specific datasets. Nonetheless, even relatively small LLMs, such as the ones used in this study, require a substantial amount of compute time for pretraining. Our pretraining used 24 NVIDIA A100 GPUs with 40 GB of VRAM for...
classification, we generally split the data into training, validation, and test datasets, after which we use only the training split during training. We follow a transductive learning technique where the model observes all the data beforehand. Refer to thisMedium articleto learn more about ...
Research Endeavors: Engage with research projects, papers, datasets, and experiments, providing insights into the latest advancements and methodologies in artificial intelligence and related fields. Collaborative Environment: Foster collaboration, knowledge sharing, and community engagement through contributions, ...