2 个仓库
Awesome GitHub RepositoriesDataset Uploads
Tools for importing external files to create training datasets.
Distinct from File Upload Management: The candidates focus on general web file upload logic or storage transmission, whereas this is specifically for building ML training sets.
Explore 2 awesome GitHub repositories matching data & databases · Dataset Uploads. Refine with filters or upvote what's useful.
Awesome Dataset Uploads GitHub Repositories
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- oumi-ai/oumi
oumi-ai/oumi
8,858在 GitHub 上查看Oumi is a comprehensive large language model development platform designed for synthesizing data, fine-tuning models, and running performance evaluations. It serves as a unified environment for the entire model lifecycle, encompassing a training and fine-tuning suite, an evaluation framework, and tools for synthetic data generation and model distillation. The platform is distinguished by its iterative, failure-driven synthesis approach, which analyzes model weaknesses during evaluation to generate targeted training data. It utilizes an LLM-based judge framework to programmatically score respo
Provides a manual upload process for importing external data files to build training sets.
Pythondpoevaluationfine-tuning - priorlabs/tabpfn
PriorLabs/TabPFN
7,408在 GitHub 上查看Generates secure temporary URLs for uploading datasets directly to cloud storage, bypassing chat context limits.
Pythondata-sciencefoundation-modelsmachine-learning
