Search Results for "research" - Page 5
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Showing 380 open source projects for "research"
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corlpack
Ada Library for heterogenous vectors
Corlpack consists of a library and tools aiming to simplify and accelerate programming of small, scientific, computational applications. One of the planned features is the loading and saving of a variety of research data into a single generic data structure, that is much like the named list from R, thus removing the need to learn many data access APIs. -
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learn2learn
A PyTorch Library for Meta-learning Research
Learn2Learn is a PyTorch-based library focused on meta-learning and few-shot learning research. It provides reusable components and meta-learning algorithms, making it easier to build, train, and evaluate models that can quickly adapt to new tasks with minimal data. Learn2Learn is widely used in research for tasks such as few-shot classification, reinforcement learning, and optimization. -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. ... -
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Kitten
A statically typed concatenative systems programming language
...Its design encourages small, reusable building blocks that compose cleanly, while still permitting low-level control where performance matters. The implementation targets efficient compiled code and investigates how advanced type systems can improve reliability in a stack-based language. As a research project, Kitten serves both as a language to experiment with and as a vehicle for ideas about safety and structure in concatenative programming. -
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libgwyfile
Read and write Gwyddion GWY files
Libgwyfile is a small, embeddable library for reading and writing of Gwyddion GWY files as foreign data. This means independently of Gwyddon and without adopting its data object model. -
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NeuMan
Neural Human Radiance Field from a Single Video (ECCV 2022)
...The pipeline separates human/body and environment, learning consistent geometry and appearance to support animation. Demos showcase sequences such as dance and handshake, and the code provides guidance for running evaluations and rendering. As a research release, it serves both as a baseline and as a starting point for work on human-centric NeRFs. The emphasis is on practical reconstruction quality from minimal capture setups. Compositional outputs to blend humans and backgrounds. Novel view and novel pose synthesis from learned radiance fields. -
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Java Marine API
NMEA 0183 library for Java
Java Marine API is an NMEA 0183 library for Java. For furher info and latest source code, see project's Github pages. https://github.com/ktuukkan/marine-api/ -
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bigz
Simple and complete bignum/rational C library with wrappers for C++
bigz is the continuation of an old BigNum project that started its life as a joined INRIA & Dec project in 1989. The current version includes many fixes and improvements. Although not as efficient as, say gmp, it is very small, reasonably efficient and extremely portable. -
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GeoAPI
Set of Java interfaces for geospatial applications
The development community in building GIS solutions is sustaining an enormous level of effort. The GeoAPI project aims to reduce duplication and increase interoperability by providing neutral, interface-only APIs derived from OGC/ISO Standards. -
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This is a research project to possible improve compression using LZ77, LZSS or bwt, bwt is used on the bzip2 compression library, the v28 from 04/dec/2022 is the first version to almost beat lzma, indeed it is a tweak of lzma, the decoder for v28 will follow in a few days
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed... -
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CommandlineConfig
A library for users to write configurations in Python
CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly from the command line, making it convenient to run many experimental variants without editing files repeatedly. ... -
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Lnkdlst
Single sided linked list (kind of lib with test-code, C, C++ and java)
Use own (user) data section for each Linked-List-Element (LLEl) including a fix Identifier which is for search via basic Lnkdlst function (fast ID-part-search, e.g. to find all elements with a specific bit in the ID set). Main list-linkage-change functions: append, insert, delete. - Examples: use of flexible variable ArgList (OnePointerArg, optional valid if not NULL, Argument-Type by ID-Number is easy to get), key-value pairs, build FIFO{queue}/LIFO{stack}, auto-list with max.... -
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LibRan
Random Variate generators for various distributions.
The LibRan package is a library of various pseudo-random number generators along with their exact probability and cumulative probability density functions. The libary contains its own optimized sequential congruential uniform pseudo-random number generator on the interval x ∈ [0, 1) ; along with useful tools such as methods for collecting statistics in bins. Each of the random variate distributions rely on a number of internal attributes to customize the distribution. The library is... -
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Darknet
Convolutional Neural Networks
...It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models. With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. Its simplicity, combined with powerful capabilities, has made Darknet one of the most influential projects in the computer vision community. -
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SkePi
Data parallel and stream parallel skeletons implemented in erlang.
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Julia.jl
Curated decibans of Julia programming language
...The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. By centralizing these resources, Julia.jl supports continuous learning and growth for users at all experience levels in the Julia community. -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
...YOLOv7 introduced training-time improvements that raise accuracy without increasing inference cost, which is why the project became important in real-time detection research. It supports multiple model sizes and related tasks such as object detection and instance segmentation through associated branches or weights. It is useful for researchers, engineers, and developers building detection systems for video, edge devices, robotics, analytics, and industrial vision. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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comby
A code rewrite tool for structural search and replace that supports
Comby is a tool for searching and changing code structure. Use lightweight templates to easily search and change code, HTML, or JSON. Comby is designed to work on any language or data format. Perform richer search and replace because Comby understands the syntax of code blocks, strings, and comments for your language. Comby is ideal for touching up pieces of code. Use it to translate code like this Python 2 to 3 fixer on the right to replace deprecated methods. Easily write one-off refactors... -
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Flashlight library
A C++ standalone library for machine learning
Flashlight is a fast, flexible machine learning library written entirely in C++ by Facebook AI Research and the creators of Torch, TensorFlow, Eigen, and Deep Speech. Native support in C++ and simple extensibility make Flashlight a powerful research framework that's hackable to its core and enables fast iteration on new experimental setups and algorithms with little unopinionated and without sacrificing performance. In a single repository, Flashlight provides apps for research across multiple domains. ... -
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waybackurls
Fetch all the URLs that the Wayback Machine knows about for a domain
...It accepts input domains via standard input and outputs a list of discovered URLs, making it easy to integrate into pipelines and automated workflows. The tool is particularly valuable in security research, bug bounty hunting, and penetration testing, as it uncovers endpoints that may no longer be publicly linked but still exist on servers. By leveraging archived data, waybackurls helps identify hidden attack surfaces, legacy APIs, and forgotten resources that could be vulnerable. Its design is intentionally simple and efficient, focusing on delivering large volumes of URLs quickly with minimal configuration. ... -
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Major looseless compression algorithms library and documentation. First project: Arithmetic, Huffman, LZ77, LZ78, LZW, RLE. Second project reimplements Deflate. Documentation explains major Entropy Compression Methods.
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GDAL wheels for linux
GDAL wheels for python and C/C++ projects (Linux only)
To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs...
