Research
Showing 36 of 85 projects
A comprehensive collection of over 570 LaTeX examples with individual Makefiles for easy PDF generation.
A curated collection of must-read academic papers on knowledge representation learning and knowledge embedding, with an associated open-source toolkit.
A technique using Fourier feature mappings to enable neural networks to learn high-frequency functions in low-dimensional domains.
A discontinued Python neural network framework designed for fast, flexible experimentation with CPU and GPU backends.
Script to generate question/answer pairs from CNN and Daily Mail articles for machine reading comprehension research.
A Markdown template and toolchain for writing and compiling a PhD thesis with pandoc, supporting PDF, HTML, and LaTeX outputs.
A curated list of amazing Homomorphic Encryption libraries, software, applications, databases, and resources.
An open-source framework for real-time multi-physics simulation, specializing in medical simulation and robotics.
Converts neuroimaging data from the DICOM format to the NIfTI format and generates BIDS JSON sidecars.
A curated collection of resources for learning about Maximum Extractable Value (MEV) in blockchain ecosystems.
A virtual environment simulator for training embodied AI agents with real-world perception and physics, featuring domain transfer to real robots.
A Python API for the Argoverse dataset, providing tools for 3D tracking, motion forecasting, and HD map interaction for autonomous vehicle research.
A curated list of awesome 5G frameworks, libraries, software, and resources for developers and researchers.
A learned index structure enabling fast lookups, range searches, and updates on billions of items with minimal space usage.
A diverse suite of scalable reinforcement learning environments written in JAX for hardware-accelerated research.
An object-oriented machine learning framework built on JAX, designed for simplicity and readability in research.
A curated directory of tools, libraries, and resources for building sustainable software that reduces carbon emissions.
A curated collection of offensive security research, techniques, and tools for attacking CI/CD pipelines and software supply chains.
A curated list of awesome tools, tutorials, and APIs for accessing and processing Copernicus Sentinel satellite data.
A curated list of popular deep learning models for image classification, segmentation, and detection with key performance metrics.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A curated list of top-tier publications and resources for LiDAR-Visual fusion SLAM systems.
Tools for compiling and using the Maluuba NewsQA dataset, a machine reading comprehension dataset based on CNN articles.
A Python implementation of correct-by-construction consensus protocols, including Casper the Friendly Ghost for blockchain.
A Windows tool for malware researchers to explore and test anti-debug techniques across modern debuggers.
Deprecated Microsoft Quantum Computing libraries for noncommercial research and academic use only.
A vision transformer architecture that aggregates nested local transformers on image blocks for better accuracy, data efficiency, and convergence.
An open platform for hosting and participating in data science challenges focused on open science and open data.
Easy link prediction tool
A collection of neuroevolution experiments for reinforcement learning control problems using unsupervised learning feature extractors.
A compilation of research materials on data resilience, interactivity, and related topics for the Data Together community.
A curated collection of books covering Artificial Intelligence, Machine Learning, Deep Learning, and Transformers for students and professionals.
A tool for fast detection of repackaged Android applications by comparing resource file digests from APK signatures.
A collection of quantitative trading research experiments exploring uncommon strategies and techniques through Jupyter notebooks.
A deep learning algorithm that predicts type hints for Python code using neural networks.
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