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Published directory entries matching your search.
Desbordante is a high-performance open-source data profiler. It uses a variety of algorithms to discover different patterns in data and supports running data cleaning scenarios using these algorithms. The tool is available as a console version and an easy-to-use web application.
Basic proof of concept for genetic architecture search in Keras.
Exploit-DB paper archive with security research, exploitation papers, and technical writeups.
Exploit-DB binary exploit archive for security research and controlled testing.
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.
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.
Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
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.
Research-Digest is a Flask application that scrapes arXiv weekly for newly published papers in fields including computer vision and machine learning, then offers a summarization feature so users can grasp key points. Summarization uses a T5 model finetuned on scientific articles, with weights and tokenizers stored locally.
Impala is a distributed C++ query engine for SQL queries over petabytes of data stored in Apache Hadoop clusters. It supports data in HDFS, Apache HBase and Amazon S3, window functions and subqueries, and uses LLVM for on-the-fly code generation. It is Apache-licensed and open source, and the repository is a mirror of Apache Impala.
Kartograph.py is a Python library for rendering beautiful SVG maps. The project is currently unmaintained, but its source code remains available on GitHub. It allows users to create map visualizations programmatically.
kixistats is a library of statistical distribution sampling and transducing functions. It provides tools for statistical analysis. The project is open-source and available on GitHub, with documentation, installation instructions, and usage examples.
Knowledge Repo is a next-generation curated knowledge sharing platform designed for data scientists and other technical professionals. It is maintained as a public open source repository on GitHub under the Airbnb organization.
lakeFS is a source-available data version control tool that turns object storage into a Git-like repository, allowing data lakes to be managed like code. It supports AWS S3, Azure Blob Storage and Google Cloud Storage, is API compatible with S3, and works with frameworks such as Spark, Hive, AWS Athena, DuckDB and Presto.
LangKit is an open-source toolkit for monitoring large language models (LLMs). It extracts signals from LLM prompts and responses, and offers features such as text quality assessment, relevance metrics, and sentiment analysis to support LLM observability.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
PyTorch Meta-learning Framework for Researchers.
LightlyTrain is an open-source GitHub repository offering all-in-one training capabilities for vision models, including YOLO, ViTs, RT-DETR, and DINOv3. It supports pretraining, fine-tuning, and distillation workflows for these model types.
LlamaIndex is an open-source document processing platform built for artificial intelligence applications. It is maintained in a GitHub repository by run-llama, offering tools to handle documents as part of AI workflows.
