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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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github.com
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
github.com
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
github.com
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.
github.com
The AI Scientist: Towards Fully Automated Open-Ended Scientific.
github.com
AI Visibility Monitor is an open-source CLI that runs buyer queries against ChatGPT, Claude, and Perplexity and reports which queries are winnable, source surfaces, and visibility trends. It runs on the user's own API keys, with no signup and no SaaS upsell.
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.
github.com
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.
github.com
Ambrosia is a cross-platform command line tool written in Go for improving text datasets used in machine learning. It offers fast deduplication, filtering, length checking and whitespace trimming, plus an LLM-based filtering option called psort. It ships as a single binary with no dependencies and is pre-1.0 software.
github.com
Archai is an open-source project developed by Microsoft and hosted on GitHub. It is designed to accelerate neural architecture search (NAS) research by providing fast, reproducible, and modular tooling for developing, testing, and refining new neural network architectures.
github.com
ArtiVC is a command-line tool for data versioning on cloud storage. It snapshots data and switches between versions, supporting commit history, commit messages, version tags, diffing commits, and pulling data from a specific version. Backends include local filesystem, remote filesystem over SSH, AWS S3, Google Cloud Storage, and Azure Blob Storage, with more through Rclone. No additional server is required.
github.com
Automatic architecture search and hyperparameter optimization for PyTorch.
github.com
AutoRAG is a project developed by Marker-Inc-Korea that enables an agent to locate content on a user's computer. Its functionality improves with frequent use, and it includes an agent component with defined core values, architecture and operational details.
github.com
AutoViz is a Python library that automatically visualizes any dataset, any size, with a single line of code. It also offers the FixDQ() function for a quick assessment of dataset quality and fixing data quality issues. The project aims to provide an automated approach to exploratory data analysis through quick and easy data visualization plus data quality, abstracting away the complexities of various plotting libraries and techniques.
github.com
Awadb is an AI-native database built for working with embedding vectors. It is available as a public open-source repository on GitHub, where users can access the code, contribute to development, or deploy it locally on Mac OSX or Linux, or run it as a standalone service. The project is designed to support AI applications that rely on vector embedding functionality.
github.com
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
github.com
Awesome AutoDL is a curated list of automated deep learning resources and an in-depth analysis, subtitled that neural architecture search is not the end. It collects papers, libraries and benchmarks covering neural architecture search and hyper-parameter optimization.
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.
github.com
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.
github.com
Helps find, analyze or synthesize information for research and knowledge discovery.
github.com
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
A curated list of AI tools for music composition, generation, and analysis.
github.com
Curated list of free and open-source MySQL software, libraries, tools and resources. The README organizes entries into categories such as Analysis, Backup, Benchmarking, Binlog Replication, Connectors, GUI and Replication, and the list accepts and encourages pull requests.