Research Tools
Showing 36 of 148 projects
A PyTorch wrapper that automates engineering boilerplate for scalable AI model training and deployment.
LaTeX code and Python interface for creating publication-quality neural network architecture diagrams.
An open-source, web-based, real-time collaborative LaTeX editor for writing and editing scientific documents.
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
A Python library for language-vision intelligence research, providing unified access to state-of-the-art models, datasets, and tasks.
An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A framework for elegantly configuring complex applications, particularly in machine learning and research.
Code examples and tutorials for Stanford's TensorFlow for Deep Learning Research course (CS 20).
A curated list of reinforcement learning resources including theory, applications, code libraries, tutorials, and platforms.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
A curated list of resources, tools, datasets, and learning materials for Chinese Natural Language Processing.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.
An integrated development environment (IDE) for the R programming language with a comprehensive workbench and server capabilities.
A collection of infrastructure and tools for research in neural network interpretability and visualization.
A unified, comprehensive, and efficient Python/PyTorch library for reproducing and developing recommendation algorithms.
A curated list of resources for constructing, analyzing, and visualizing network data across various disciplines.
A curated list of open-source and research tools for capturing, analyzing, and processing network packet captures (PCAP files).
A curated list of open-source tools for capturing, analyzing, and processing network packet captures (PCAP files).
Interactive HTML widgets for Jupyter notebooks, enabling dynamic data exploration and visualization.
A real-time rendering framework for DirectX 12 and Vulkan that improves productivity in graphics research and prototyping.
A curated list of robotics libraries, simulators, and software for developers and researchers.
A large collection of real-world system log datasets for AI-driven log analytics research.
A curated list of tools and resources for researchers, covering organization, writing, publishing, data analysis, and academic workflows.
A curated list of resources, tools, and services for web archiving, from acquisition and replay to analysis and community.
A curated list of resources, tools, and services for web archiving, from acquisition and replay to analysis and community.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A curated list of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
A curated list of awesome libraries, projects, tutorials, and resources for the JAX machine learning ecosystem.
An open-source Python library for creating and running psychology and neuroscience experiments with both GUI and code interfaces.
A collection of 30+ LaTeX drawing examples for Bayesian networks, graphical models, tensors, and academic illustrations.
An open-source benchmark suite of continuous control robotic manipulation environments for multi-task and meta reinforcement learning.
Converts MATLAB/Octave figures to TikZ/pgfplots figures for seamless integration into LaTeX documents.
A Python matplotlib-enhancer library that painlessly creates beautiful default plots with improved aesthetics and color perception.
A curated collection of links for economists, covering studying, research, data, software, discussions, and career resources.
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