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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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AI Models Catalog is a structured YAML catalog of AI model providers and their models, sourced from first-party APIs and official documentation. It includes TypeScript type definitions and Zod runtime validation schemas, plus scripts to sync data from providers and validate YAML files against schemas.
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The AI Scientist: Towards Fully Automated Open-Ended Scientific.
github.com
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
github.com
A super-easy way to record, search and compare 1000s of ML training runs.
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Algebird is an open-source Scala library developed by Twitter that provides abstract algebra functionality for use in Scala software projects. It is hosted and maintained on the GitHub platform for collaborative development.
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Automatic architecture search and hyperparameter optimization for PyTorch.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
github.com
Awesome Decision Tree Papers is a GitHub-hosted open repository that collects research papers on decision trees, classification trees, and regression trees. The repository includes associated code implementations for the papers, and organizes content by publication year, with entries covering 2020, 2021, and 2022. It serves as a resource for machine learning researchers and practitioners.
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A curated list of fraud detection papers from conferences including AAAI, CIKM, ICML, IJCAI, KDD, ICDM, and WWW. It also references similar collections about graph classification and other papers with implementations.
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Helps find, analyze or synthesize information for research and knowledge discovery.
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A curated list of Monte Carlo tree search papers with implementations, organized by conference and journal sources including NeurIPS, ICML, CVPR, ACL, AAAI, and others. The repository also links to similar collections covering graph classification, gradient boosting, and fraud detection papers.
github.com
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
github.com
BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
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CKAN is an open-source data management system for creating and operating data hubs and portals. It enables organizations to publish, share, and use data. It powers government data sites such as data.gov, open.canada.ca, and humdata.org.
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A GitHub repository from dair-ai containing explanations of key concepts in machine learning. The README lists papers with dates and descriptions, including the Transformer, Elmo, Marian MT, GPT, BERT and Transformer XL.
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A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
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Data-to-paper: AI-driven research from data to human-verifiable research papers.
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LinkedIn's generalized metadata search & discovery tool.
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DB GPT is an open-source agentic AI data assistant developed by eosphoros-ai and hosted on GitHub, designed for use in next-generation AI and data products. It offers capabilities including agentic data analysis and autonomous SQL and code execution.
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Official PyTorch implementation of the CVPR 2019 paper on deep high-resolution representation learning for human pose estimation. The network maintains high-resolution representations through the whole process and connects multi-resolution subnetworks in parallel with repeated multi-scale fusions. Results are reported on the COCO keypoint detection dataset and the MPII Human Pose dataset.
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An agentic LLM for autonomous data science that performs data preparation, analysis, modeling, visualization, and report generation without human intervention. It supports open-ended research on structured, semi-structured, and unstructured data sources, and the model, code, training data, and demo are open-sourced.
github.com
Deepchecks is an open-source project for validating machine learning models and data from research to production. It includes built-in and custom checks and suites for tabular, NLP and CV validation, CI and testing management, and monitoring of deployed models. Installation is via pip.
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Delta Lake is an open-source storage framework designed to support the construction of a Lakehouse architecture. It is compatible with multiple compute engines including Apache Spark, PrestoDB, Flink, Trino, and Hive, as well as associated APIs.