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DALL-E : Ramesh, Aditya; Pavlov, Mikhail; Goh, Gabriel; Gray, Scott; Voss, Chelsea; Radford, Alec; Chen, Mark; Sutskever, Ilya (26 February 2021). "Zero-Shot Text-to-Image Generation". arXiv:2102.12092 [cs.CV].. The original report on DALL-E. DALL-E 3 System Card DALL-E 3 paper by OpenAI DALL-E 2 website Craiyon websit... |
CuckooChess : CuckooChess is an advanced free and open-source chess engine under the GNU General Public License written in Java by Peter Österlund. CuckooChess provides an own GUI, and optionally supports the Universal Chess Interface protocol for the use with external GUIs such as Arena. An Android port is available, ... |
CuckooChess : Computer Chess |
CuckooChess : CuckooChess 1.12 Project page |
Easy Redmine : Easy Redmine (also Easy Project) is project management software available in 80 countries worldwide. It functions as an extension to Redmine. |
Easy Redmine : Easy Software, a company behind Easy Redmine was established in 2006 by Filip Morávek who serves as a company's CEO and is also a founder of the Mindfulness Foundation. In 2007, the company released an open-source project management software based on Redmine that included modules for project financing — ... |
Easy Redmine : Easy Redmine covers Waterfall and Agile project management individually or simultaneously. It is available in public and private cloud hosting or on-premises server. It's based on open-source technologies such as Redmine. It covers the complete process from planning through implementation to helpdesk sup... |
Easy Redmine : Easy AI is an artificial intelligence extension integrated into the Easy Redmine project management suite, offering both cloud-based and on-premises deployment options. It is designed to support organizations in automating tasks and improving project management processes while maintaining data security. ... |
Easy Redmine : The Easy Redmine website claims that "Easy Redmine is an Open Source software", but its source is neither freely downloadable nor is it licensed under an open-source license according to The Open Source Definition, since the Easy Software Commercial License does not allow free redistribution (among other... |
Beijing Academy of Artificial Intelligence : Beijing Academy of Artificial Intelligence (BAAI) (Chinese: 北京智源人工智能研究院; pinyin: Běijīng Zhìyuán réngōng zhìnéng yánjiùyuàn), also known as Zhiyuan Institute, is a Chinese non-profit artificial intelligence (AI) research laboratory. BAAI conducts AI research and is dedicated... |
Beijing Academy of Artificial Intelligence : As of 2023, BAAI's research focuses on large pre-trained models (LLMs) and open-source AI infrastructure. |
Beijing Academy of Artificial Intelligence : In March 2025, the U.S. Commerce Department added BAAI to the Entity List for allegedly developing technology for military purposes. |
Flux (text-to-image model) : Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, call... |
Flux (text-to-image model) : Black Forest Labs were founded in 2024 by Robin Rombach, Andreas Blattmann, and Patrick Esser, former employees of Stability AI. All three founders had previously researched the artificial intelligence image generation at Ludwig Maximilian University of Munich as research assistants under B... |
Flux (text-to-image model) : Flux is a series of text-to-image models. The models are based on a hybrid architecture that combines multimodal and parallel diffusion transformer blocks scaled to 12 billion parameters. The models are released under different licences with Schnell (meaning Fast or Quick in German language... |
Flux (text-to-image model) : According to a test performed by Ars Technica, the outputs generated by Flux.1 Dev and Flux.1 Pro are comparable with DALL-E 3 in terms of prompt fidelity, with the photorealism closely matched Midjourney 6 and generated human hands with more consistency over previous models such as Stable ... |
Flux (text-to-image model) : While Black Forest Labs do not offer direct access to their models on their website, the Flux models are widely available through various third-party platforms for creative and professional use. These include repositories on platforms like Hugging Face and Replicate. |
Flux (text-to-image model) : Official website Flux models on Hugging Face Flux models on Replicate Flux models on FAL.ai |
Fooocus : Fooocus is an open source generative artificial intelligence program that allows users to generate images from a text prompt. It uses Stable Diffusion XL as the base model for its image capabilities as well as a collection of default settings and prompts to make the image generation process more streamlined. |
Fooocus : Fooocus was created by Lvmin Zhang, a doctoral student at Stanford University who previously studied at the Chinese University of Hong Kong and Soochow University. He is also the main author of ControlNet, which has been adopted by many other Stable Diffusion interfaces, such as AUTOMATIC1111 and ComfyUI. As ... |
Fooocus : Fooocus' main feature is that it is easy to set up and does not require users to manually configure model parameters to achieve desirable results. According to the project, it uses GPT-2 to automatically add more detail to the user's prompts. It includes common extensions such LCM low-rank adaptation by defau... |
Infer.NET : Infer.NET is a free and open source .NET software library for machine learning. It supports running Bayesian inference in graphical models and can also be used for probabilistic programming. |
Infer.NET : Infer.NET follows a model-based approach and is used to solve different kinds of machine learning problems including standard problems like classification, recommendation or clustering, customized solutions and domain-specific problems. The framework is used in various different domains such as bioinformati... |
Infer.NET : Machine learning ML.NET scikit-learn |
Infer.NET : Knowles, D.; Parts, L.; Glass, D.; Winn, John (2010). "Modeling skin and ageing phenotypes using latent variable models in Infer.NET" (PDF). Microsoft. Winn, John; Minka, Tom (2009). "Probabilistic Programming with Infer.NET". Winn, John; Simpson, Angela; Custovic, Adnan; Y. F. Tan, Vincent (2008). "Immune ... |
Infer.NET : Infer.NET GitHub - dotnet/infer Machine Intelligence and Perception - Microsoft Research Infer.NET - Practical Implementation Issues and a Comparison of Approximation Techniques |
LAION : LAION (acronym for Large-scale Artificial Intelligence Open Network) is a German non-profit which makes open-sourced artificial intelligence models and datasets. It is best known for releasing a number of large datasets of images and captions scraped from the web which have been used to train a number of high-p... |
LAION : LAION has publicly released a number of large datasets of image-caption pairs which have been widely used by AI researchers. The data is derived from the Common Crawl, a dataset of scraped web pages. The developers searched the crawled html for <img> tags and treated their alt attributes as captions. They used ... |
LAION : OpenAssistant is an artificial intelligence (AI) open source chat-based assistant that understands tasks, can interact with third-party systems and retrieve information dynamically to do so. The project is developed by a group of volunteers in collaboration with LAION. One of the goals for development includes ... |
LAION : Artificial intelligence and copyright == References == |
LightGBM : LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. It is based on decision tree algorithms and used for ranking, classification and other machine learning tasks. The development focus ... |
LightGBM : The LightGBM framework supports different algorithms including GBT, GBDT, GBRT, GBM, MART and RF. LightGBM has many of XGBoost's advantages, including sparse optimization, parallel training, multiple loss functions, regularization, bagging, and early stopping. A major difference between the two lies in the c... |
LightGBM : When using gradient descent, one thinks about the space of possible configurations of the model as a valley, in which the lowest part of the valley is the model which most closely fits the data. In this metaphor, one walks in different directions to learn how much lower the valley becomes. Typically, in grad... |
LightGBM : Exclusive feature bundling (EFB) is a near-lossless method to reduce the number of effective features. In a sparse feature space many features are nearly exclusive, implying they rarely take nonzero values simultaneously. One-hot encoded features are a perfect example of exclusive features. EFB bundles these... |
LightGBM : ML.NET Data binning CatBoost scikit-learn |
LightGBM : Guolin Ke; Qi Meng; Thomas Finely; Taifeng Wang; Wei Chen; Weidong Ma; Qiwei Ye; Tie-Yan Liu (2017). "LightGBM: A Highly Efficient Gradient Boosting Decision Tree" (PDF). Neural Information Processing System. Quinto, Butch (2020). Next-Generation Machine Learning with Spark – Covers XGBoost, LightGBM, Spark ... |
LightGBM : GitHub - microsoft/LightGBM LightGBM - Microsoft Research |
Linagora : Linagora is a French open source software editor, founded in June 2000 by Alexandre Zapolsky and Michel-Marie Maudet. Located in France, as well as in Belgium, Canada, Vietnam, the United States and Tunisia, the company employs around 200 people. In 2023, Linagora creates the OpenLLM France community, alongs... |
Linagora : Linagora was founded on June 28, 2000. Its name is a contraction of the words "Linux" and "Agora". The company was founded by Alexandre Zapolsky and Michel-Marie Maudet. Soon after, the two entrepreneurs were joined by Alexandre Zapolsky's wife and brother, who took on the roles of commercial director and ad... |
Linagora : The company acquired: In July 2007, the SME AliaSource, based in Ramonville-Saint-Agne and led by its founder, Pierre Baudracco. In 2008, the open source web hosting company Netaktiv, a member of the GIE Gitoyen, announced during the 2008 Solutions Linux trade show. In 2012, the Toulouse-based company EBM We... |
Linagora : In 2017, the company's headquarters was located in Issy-les-Moulineaux, with branches in Lyon, Toulouse, Marseille, and internationally in Brussels, San Francisco, Montreal, Vietnam, and Tunisia. In 2005, the company attempted to establish a presence in Nantes. In 2024, the headquarters was moved to Issy-les... |
Linagora : Official website Category:Artificial intelligence companies Category:French companies established in 2000 Category:Companies based in Paris |
MindSpore : MindSpore is a open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei. |
MindSpore : It has support for custom OpenHarmony-based HarmonyOS NEXT single core framework system built for HarmonyOS, includes an AI system stack that comes with Huawei's built LLM model called PanGu-Σ with full MindSpore framework support. Alongside, OpenHarmony Native device-side AI support for training interface ... |
MindSpore : On April 24, 2024, Huawei's MindSpore 2.3.RC1 was released to open source community with Foundation Model Training, Full-Stack Upgrade of Foundation Model Inference, Static Graph Optimization, IT Features and new MindSpore Elec MT (MindSpore-powered magnetotelluric) Intelligent Inversion Model. |
MindSpore : Comparison of deep learning software Differentiable programming TensorFlow Keras CUDA |
MindSpore : Official website Learning MindSpore Web Deep Learning and Practice with MindSpore Book (ENG) |
Mistral AI : Mistral AI SAS is a French artificial intelligence (AI) startup, headquartered in Paris. It specializes in open-weight large language models (LLMs). |
Mistral AI : The company is named after the mistral, a powerful, cold wind in southern France. |
Mistral AI : Mistral AI was established in April 2023 by three French AI researchers, Arthur Mensch, Guillaume Lample and Timothée Lacroix. Mensch, an expert in advanced AI systems, is a former employee of Google DeepMind; Lample and Lacroix, meanwhile, are large-scale AI models specialists who had worked for Meta Plat... |
Mistral AI : According to Mistral AI, the company's products have been used by : BNP Paribas AXA Laboratoires Pierre Fabre CMA CGM Zalando Mirakl France Travail |
Mistral AI : Official website |
ML.NET : ML.NET is a free software machine learning library for the C# and F# programming languages. It also supports Python models when used together with NimbusML. The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class ... |
ML.NET : ML.NET brings model-based Machine Learning analytic and prediction capabilities to existing .NET developers. The framework is built upon .NET Core and .NET Standard inheriting the ability to run cross-platform on Linux, Windows and macOS. Although the ML.NET framework is new, its origins began in 2002 as a Mic... |
ML.NET : scikit-learn Accord.NET LightGBM TensorFlow Microsoft Cognitive Toolkit List of numerical analysis software List of numerical libraries for .NET framework |
ML.NET : Capellman, Jarred (2020). Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#. Packt Publishing. ISBN 978-1789801781. Mukherjee, Sudipta (2020). ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications. Apre... |
ML.NET : Official website |
Open Mind Common Sense : Open Mind Common Sense (OMCS) is an artificial intelligence project based at the Massachusetts Institute of Technology (MIT) Media Lab whose goal is to build and utilize a large commonsense knowledge base from the contributions of many thousands of people across the Web. It has been active from... |
Open Mind Common Sense : The project was the brainchild of Marvin Minsky, Push Singh, Catherine Havasi, and others. Development work began in September 1999, and the project opened to the Internet a year later. Havasi described it in her dissertation as "an attempt to ... harness some of the distributed human computing... |
Open Mind Common Sense : There are many different types of knowledge in OMCS. Some statements convey relationships between objects or events, expressed as simple phrases of natural language: some examples include "A coat is used for keeping warm", "The sun is very hot", and "The last thing you do when you cook dinner i... |
Open Mind Common Sense : ConceptNet is a semantic network based on the information in the OMCS database. ConceptNet is expressed as a directed graph whose nodes are concepts, and whose edges are assertions of common sense about these concepts. Concepts represent sets of closely related natural language phrases, which c... |
Open Mind Common Sense : The information in ConceptNet can be used as a basis for machine learning algorithms. One representation, called AnalogySpace, uses singular value decomposition to generalize and represent patterns in the knowledge in ConceptNet, in a way that can be used in AI applications. Its creators distri... |
Open Mind Common Sense : Other similar projects include Never-Ending Language Learning, Mindpixel (discontinued), Cyc, Learner, SenticNet, Freebase, YAGO, DBpedia, and Open Mind 1001 Questions, which have explored alternative approaches to collecting knowledge and providing incentive for participation. The Open Mind Co... |
Open Mind Common Sense : Attempto Controlled English (ACE), a controlled natural language Never-Ending Language Learning Mindpixel Semantic Web DBpedia Freebase (database) YAGO (database) |
Open Mind Common Sense : Open Mind Common Sense meta-repository Github ConceptNet AnalogySpace The Divisi inference toolkit Commonsense Computing Initiative's Webpage (Site doesn't exist) The Open Mind Initiative (Site doesn't exist) OMCSNetCPP - Open source C++ inference engine using the OMCSNet data Open Mind Common ... |
OpenCog : OpenCog is a project that aims to build an open source artificial intelligence framework. OpenCog Prime is an architecture for robot and virtual embodied cognition that defines a set of interacting components designed to give rise to human-equivalent artificial general intelligence (AGI) as an emergent phenom... |
OpenCog : OpenCog was originally based on the release in 2008 of the source code of the proprietary "Novamente Cognition Engine" (NCE) of Novamente LLC. The original NCE code is discussed in the PLN book (ref below). Ongoing development of OpenCog is supported by Artificial General Intelligence Research Institute (AGIR... |
OpenCog : OpenCog consists of: A graph database, dubbed the AtomSpace, that holds "atoms" (that is, terms, atomic formulas, sentences and relationships) together with their "values" (valuations or interpretations, which can be thought of as per-atom key-value databases). An example of a value would be a truth value. At... |
OpenCog : In 2008, the Machine Intelligence Research Institute (MIRI), formerly called Singularity Institute for Artificial Intelligence (SIAI), sponsored several researchers and engineers. Many contributions from the open source community have been made since OpenCog's involvement in the Google Summer of Code in 2008 ... |
OpenCog : Similar to other cognitive architectures, the main purpose is to create virtual humans, which are three dimensional avatar characters. The goal is to mimic behaviors like emotions, gestures and learning. For example, the emotion module in the software was only programmed because humans have emotions. Artifici... |
OpenCog : Soar Cyc List of free and open source software packages OpenAI |
OpenCog : Hart, D; B Goertzel (2008). OpenCog: A Software Framework for Integrative Artificial General Intelligence (PDF). Proceedings of the First AGI Conference. Gbooks Goertzel, B., Iklé, M., Goertzel, I.F., Heljakka, A. Probabilistic Logic Networks, A Comprehensive Framework for Uncertain Inference, Springer, 2009,... |
OpenCog : Official website OpenCog Wiki AGI 2011: OpenCog - GoogleTechTalks on YouTube AGI 2011: Architectures Part I - GoogleTechTalks on YouTube Artificial General Intelligence: Now Is the Time - 2007 GoogleTechTalks on YouTube CogPrime: An Integrative Architecture for Embodied Artificial General Intelligence OpenCog... |
Cyc : Cyc (pronounced SYKE) is a long-term artificial intelligence project that aims to assemble a comprehensive ontology and knowledge base that spans the basic concepts and rules about how the world works. Hoping to capture common sense knowledge, Cyc focuses on implicit knowledge. The project began in July 1984 at M... |
Cyc : The project began in July 1984 by Douglas Lenat as a project of the Microelectronics and Computer Technology Corporation (MCC), a research consortium started by two United States–based corporations "to counter a then ominous Japanese effort in AI, the so-called 'fifth-generation' project." The US passed the Natio... |
Cyc : The knowledge base is divided into microtheories. Unlike the knowledge base as a whole, each microtheory must be free from monotonic contradictions. Each microtheory is a first-class object in the Cyc ontology; it has a name that is a regular constant. The concept names in Cyc are CycL terms or constants. Constan... |
Cyc : An inference engine is a computer program that tries to derive answers from a knowledge base. The Cyc inference engine performs general logical deduction. It also performs inductive reasoning, statistical machine learning and symbolic machine learning, and abductive reasoning. The Cyc inference engine separates t... |
Cyc : In 2001, GlaxoSmithKline was funding the Cyc, though for unknown applications. In 2007, the Cleveland Clinic has used Cyc to develop a natural-language query interface of biomedical information on cardiothoracic surgeries. A query is parsed into a set of CycL fragments with open variables. The Terrorism Knowledge... |
Cyc : The Cyc project has been described as "one of the most controversial endeavors of the artificial intelligence history". Catherine Havasi, CEO of Luminoso, says that Cyc is the predecessor project to IBM's Watson. Machine-learning scientist Pedro Domingos refers to the project as a "catastrophic failure" for the u... |
Cyc : This is a list of some of the notable people who work or have worked on Cyc either while it was a project at MCC (where Cyc was first started) or Cycorp. |
Cyc : Alan Belasco et al. (2004). "Representing Knowledge Gaps Effectively". In: D. Karagiannis, U. Reimer (Eds.): Practical Aspects of Knowledge Management, Proceedings of PAKM 2004, Vienna, Austria, December 2–3, 2004. Springer-Verlag, Berlin Heidelberg. Bertino, Elisa; Piero, Gian; Zarria, B.C. (2001). Intelligent D... |
Cyc : Cycorp website |
PyTorch : PyTorch is a machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella. It is one of the most popular deep learning frameworks, alongside others such as Tenso... |
PyTorch : Meta (formerly known as Facebook) operates both PyTorch and Convolutional Architecture for Fast Feature Embedding (Caffe2), but models defined by the two frameworks were mutually incompatible. The Open Neural Network Exchange (ONNX) project was created by Meta and Microsoft in September 2017 for converting mo... |
PyTorch : PyTorch defines a class called Tensor (torch.Tensor) to store and operate on homogeneous multidimensional rectangular arrays of numbers. PyTorch Tensors are similar to NumPy Arrays, but can also be operated on a CUDA-capable NVIDIA GPU. PyTorch has also been developing support for other GPU platforms, for exa... |
PyTorch : PyTorch defines a module called nn (torch.nn) to describe neural networks and to support training. This module offers a comprehensive collection of building blocks for neural networks, including various layers and activation functions, enabling the construction of complex models. Networks are built by inherit... |
PyTorch : The following program shows the low-level functionality of the library with a simple example. The following code-block defines a neural network with linear layers using the nn module. |
PyTorch : Comparison of deep learning software Differentiable programming DeepSpeed |
PyTorch : Official website |
Rnn (software) : rnn is an open-source machine learning framework that implements recurrent neural network architectures, such as LSTM and GRU, natively in the R programming language, that has been downloaded over 100,000 times (from the RStudio servers alone). The rnn package is distributed through the Comprehensive R... |
Rnn (software) : The below example from the rnn documentation show how to train a recurrent neural network to solve the problem of bit-by-bit binary addition. |
Rnn (software) : The sigmoid functions and derivatives used in the package were originally included in the package, from version 0.8.0 onwards, these were released in a separate R package sigmoid, with the intention to enable more general use. The sigmoid package is a dependency of the rnn package and therefore automat... |
Rnn (software) : With the release of version 0.3.0 in April 2016 the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural ... |
Rnn (software) : Repository on GitHub rnn package on CRAN |
Spark NLP : Spark NLP is an open-source text processing library for advanced natural language processing for the Python, Java and Scala programming languages. The library is built on top of Apache Spark and its Spark ML library. Its purpose is to provide an API for natural language processing pipelines that implement r... |
Spark NLP : The design of the library makes use of the concept of a pipeline which is an ordered set of text annotators. Out of the box annotators include, tokenizer, normalizer, stemming, lemmatizer, regular expression, TextMatcher, chunker, DateMatcher, SentenceDetector, DeepSentenceDetector, POS tagger, ViveknSentim... |
Spark NLP : Spark NLP for Healthcare is a commercial extension of Spark NLP for clinical and biomedical text mining. It provides healthcare-specific annotators, pipelines, models, and embeddings for clinical entity recognition, clinical entity linking, entity normalization, assertion status detection, de-identification... |
Spark NLP : Spark OCR is another commercial extension of Spark NLP for optical character recognition (OCR) from images, scanned PDF documents, and DICOM files. It is a software library built on top of Apache Spark. It provides several image pre-processing features for improving text recognition results such as adaptive... |
Spark NLP : Spark NLP is licensed under the Apache 2.0 license. The source code is publicly available on GitHub as well as documentation and a tutorial. Prebuilt versions of Spark NLP are available in PyPi and Anaconda Repository for Python development, in Maven Central for Java & Scala development, and in Spark Packag... |
Spark NLP : In March 2019, Spark NLP received Open Source Award for its contributions in natural language processing in Python, Java, and Scala. |
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