Explainpaper is a tool for reading research papers. Users highlight confusing text to get explanations, and can ask follow-up questions. It offers plans from a free tier to paid Pro and Teams options, with Pro including advanced AI models and clickable explanations for graphs, figures and equations.
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Exploit-DB paper archive with security research, exploitation papers, and technical writeups.
Exploit-DB binary exploit archive for security research and controlled testing.
Helps find, analyze or synthesize information for research and knowledge discovery.
ImageBind is a PyTorch implementation with pretrained models from FAIR, Meta AI. It learns a joint embedding across six modalities: images, text, audio, depth, thermal, and IMU data. The release includes code and model weights under the CC-BY-NC 4.0 license.
Foundational Models for State-of-the-Art Speech and Text Translation.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Firecrawl is a web data API designed for AI agents. It allows searching and scraping web content, returning data in formats such as JSON and Markdown. The service also provides access to Alexandria’s providers and specialized indexes. Firecrawl is open source, used by over 150,000 companies, and announced a $75 million Series B funding round.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Gadfly is a Julia package for creating statistical graphics. Developed by GiovineItalia, it provides a grammar of graphics for generating visualizations in Julia. The repository includes documentation, examples, and installation instructions, and is open source.
Garage is a toolkit for developing and evaluating reinforcement learning algorithms, with an accompanying library of implementations built using it. The toolkit offers modular tools including composable neural network models, replay buffers, high-performance samplers, an experiment definition interface, reproducibility tools, logging including TensorBoard, checkpointing and resuming, and environment interfaces.
Gestell studies PTX, SASS, compiler lowering, and GPU execution behavior.
This is an article by Amelia Wattenberger exploring creative uses of embeddings, including her development of the PenPal writing app and a sentence length highlighting tool for analyzing writing style.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
A page of content on TensorFlow, including academic papers and links to related topics.
GoldenCheetah is an open source application for importing and analyzing ride data from cycling devices and other programs. It provides analysis tools including Critical Power Modelling, charts, interval search and data export, and is available for Linux, MacOS and Windows. The current stable release is version 3.8. Download options include Windows, macOS and Linux AppImage builds, and snapshot builds are published separately.
Multi-platform open source analytics and interactive visualization web application.
Graphlit is a context layer for AI agents. It provides real-time synchronization across services including Slack, GitHub, and Jira, operates via a single API with no operations overhead, and includes built-in semantic search.
Microsoft Research publication proposing 18 generally applicable design guidelines for human-AI interaction. The guidelines were validated through evaluation rounds, including a user study with 49 design practitioners who tested them against 20 AI-infused products. The authors state the guidelines can serve as a resource for practitioners designing AI applications and for researchers developing interaction design guidelines.
Explore any niche. Discover pain points, content opportunities, and what solutions people are eager to pay for.
PandasAI is an open-source library that enables conversational data analysis using large language models and retrieval-augmented generation. It allows users to interact with databases or datalakes supporting SQL, CSV, and parquet file formats.
Apache Hadoop is an open-source project that develops software for reliable, scalable, distributed computing. Its library is a framework for distributed processing of large data sets across clusters of computers using simple programming models, scaling from single servers to thousands of machines with local computation and storage, and detecting failures at the application layer.