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Published directory entries matching your search.
NeuroNER is a program that performs named-entity recognition using neural networks. It relies on Python 3 and TensorFlow 1.0+, optionally uses the BRAT annotation tool, and provides installation instructions, sample datasets and pretrained models.
A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
Open LLMs is a public repository that curates a list of open large language models (LLMs) available for commercial use. It also includes related datasets for LLM pre-training, instruction-tuning, and alignment-tuning, and is hosted under the eugeneyan GitHub organization.
Petastorm is a library developed by Uber for deep learning model training and evaluation. It supports single-machine and distributed workflows with datasets in Apache Parquet format, is compatible with TensorFlow, PyTorch, and PySpark, and can be used via pure Python code.
Polars is an extremely fast open-source query engine for DataFrames written in Rust, hosted as a GitHub repository under the pola-rs organization. It is built to handle large datasets, including data volumes that exceed available system RAM.
PyTorch Geometric Temporal is a temporal extension library for PyTorch Geometric. It contains dynamic and temporal geometric deep learning, embedding and spatio-temporal regression methods from published research papers. It includes a dataset loader, train-test splitter and temporal snapshot iterator for dynamic and temporal graphs, with GPU support and benchmark datasets.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Tonic is a tool for downloading, manipulating and loading event-based or spike-based data, described as similar to PyTorch Vision but for neuromorphic data. It provides event datasets and transformations, and the project states it is looking for a new maintainer.
torchvision is a package of popular datasets, model architectures and common image transformations for computer vision. The repository holds documentation, benchmarks, examples, packaging, references and tests alongside the torchvision code. Installation instructions point to official guidance for stable torch and torchvision versions; building from source is covered on the contributing page.
Research archive containing dark-web authorship verification datasets and baseline models.
VisPy is a high-performance interactive 2D/3D data visualization library that uses GPUs through OpenGL to display large datasets. It offers a Pythonic, NumPy-aware interface for OpenGL ES 2.0 called gloo and an experimental OpenGL backend for matplotlib. The project is described as young and under heavy development, with high-level plotting interfaces still experimental.
The visualizer is a tool developed by the cheminformatics department of the Swiss Federal Institute of Technology for rendering complex datasets. Its modules, placed on a browser page, display information as tables, charts, matrices or lists and interact through a central API of variables and actions. Visualization starts by passing three JSON file URLs in the browser address bar. It is released under the MIT license.
