19 skills found
dcmocanu / Sparse Evolutionary Artificial Neural NetworksAlways sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
KilledByAPixel / ZzArtAbstract Art Evolution
SajadAHMAD1 / Chaotic GSA For Engineering Design ProblemsAll nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
yuuretsu / Evolution Of Artificial Life🧬 Agent-based artificial life evolution simulator.
PriorArt / AGIConcept-based free-of-charge open-source Artificial General Intelligence as prior art for AI Evolution and robotic embodiment
turbomaze / CGP Evolutionary ArtRandom mathematical equations are used to generate appealing images, which are improved with a genetic algorithm through the use of a human fitness function. I used Cartesian genetic programming (CGP) to create the equations, and in this case, the CGP has access to around 20 functions, like addition, rounding, and exponentiation. A few project specific heuristics are used to obtain interesting pixel colors for each (x,y) location of the images. The images are mutated as per CGP, with the fitness function simply being the boolean value of whether or not an image was selected by the user.
manjunathshiva / Mistral Ocr DemoThis repository contains a comprehensive implementation guide and example notebook for working with Mistral OCR, a state-of-the-art document understanding API. Mistral OCR represents the next evolution in information extraction technology, capable of processing complex documents with unparalleled accuracy and speed.
LSEG-API-Samples / Article.DataLibrary.Python.EvolutionOfESGDisclosuresThis Jupyter notebook examines the evolution of ESG disclosures by companies over time. It uses the universe of companies, for which Refinitiv has been collacting ESG data since 2002, and examines how the number of ESG metrics that these companies report on evolved between 2002 and now.
Yuxing-Wang-THU / Evolutionary ArtsEvolutionary arts
iBrushC / Modern Evolutionary ArtA python repository implementing modern evolution strategies for the purpose of generating 3d-printable art. Based on the works of https://arxiv.org/abs/2109.08857 and https://people.idsia.ch/~juergen/icann2008sehnke.pdf
itmo-cv-lab / Modern Nn Architectures CourseA comprehensive course on modern neural network architectures, covering the evolution from classical CNNs to advanced Transformers, diffusion models, and state-of-the-art generative AI.
sumankrsh / Sentiment Analysis.ipynbn recent years the NLP community has seen many breakthoughs in Natural Language Processing, especially the shift to transfer learning. Models like ELMo, fast.ai's ULMFiT, Transformer and OpenAI's GPT have allowed researchers to achieves state-of-the-art results on multiple benchmarks and provided the community with large pre-trained models with high performance. This shift in NLP is seen as NLP's ImageNet moment, a shift in computer vision a few year ago when lower layers of deep learning networks with million of parameters trained on a specific task can be reused and fine-tuned for other tasks, rather than training new networks from scratch. One of the most biggest milestones in the evolution of NLP recently is the release of Google's BERT, which is described as the beginning of a new era in NLP. In this notebook I'll use the HuggingFace's `transformers` library to fine-tune pretrained BERT model for a classification task. Then I will compare the BERT's performance with a baseline model, in which I use a TF-IDF vectorizer and a Naive Bayes classifier. The `transformers` library help us quickly and efficiently fine-tune the state-of-the-art BERT model and yield an accuracy rate **10%** higher than the baseline model.
vulca-org / VulcaVULCA — AI-native cultural art creation & evaluation SDK. L1-L5 scoring, layer editing, self-evolution. 1104 tests, 21 MCP tools, 13 traditions.
lyy005 / Mitochondrial Nuclear Gene Evolution In ArthropodsThe analytical pipeline for estimating gene family evolutionary rate and gene family size changes in arthropod genomes.
SeyedMuhammadHosseinMousavi / Using Genetic Programming For Making A New Evolutionary Artwork Based On Human Computer InteractionUsing Genetic Programming for Making a New Evolutionary Artwork, Based on Human-Computer Interactions for Autism Rehabilitation
MalihehIzadi / IssueReportsManagementAutomatically managing Collectively-curated issue reports for maintenance and evolution goals of the software repositories, using state-of-the-art machine learning models.
KosmicCO / Artificial Life Evolution SimulatorBlocky creatures that hunt, forage and succumb to natural selection.
SST-Author / Subgraph Subgraph TransitionsModels graph evolution in terms of subgraph-to-subgraph transitions. Also contains code to perform temporal and static link prediction using those SSTs and compare to state of the art models (as of summer 2020).
Mansoor1565 / Elements Of A MetaversIntroduction Metaverse is the next evolution of digital technologies. It includes 3D virtualization and will transform digital technologies in the next 5-10 years. Elements of a Metaverse are considered very important related to industry 4.0. Metaverse will have numerous technologies comprising the below: Digital currency Online shopping Workplace automation Social media Digital Humans Natural Language Processing Infrastructure Device independence In this article, we would understand what Metaverse is and what are its different elements? Description Metaverse is a combined virtual space. It is made by the convergence of virtually improved physical and digital reality. We can also say that it is device-free and is not owned by a single seller. Metaverse is known as an independent virtual economy. It is allowed by digital currencies and non-fungible tokens (NFTs). It characterizes a combinatorial innovation because it needs many technologies and trends to function. The following are contributing tech capabilities: Augmented reality (AR) Flexible work styles Head-mounted displays (HMDs) An AR cloud The Internet of Things (IoT) 5G Artificial intelligence (AI) Spatial technologies For better understanding, the concepts of a Metaverse, consider it as the next version of the Internet. That begins as separate bulletin boards and independent online destinations. In the long run, these destinations developed sites on a virtual shared space same as how a Metaverse would develop. Importance of the Metaverse There is a lot of exhilaration around Metaverse. Greatly of it driven by technology companies tactically claiming to be Metaverse companies. Similarly, Metaverse creates to improve or augment the digital and physical realities of people. Furthermore, deeds that now happen in siloed locations will finally occur in a single Metaverse, for example: Buying clothes and fittings for online avatars Business digital land and building virtual homes Take part in a virtual social experience Supermarkets run in virtual malls through immersive commerce With virtual classrooms to practice immersive learning Purchasing digital art, breakables, and assets (NFTs) Networking with digital humans for onboarding business connections It is likely that a Metaverse will make available determined, decentralized, joint, and interoperable opportunities. It will create the business models, which will allow organizations to extend digital business. Elements of a Metaverse Gartner is a technology research and consulting company. It described the elements of a Metaverse in the below diagram. Elements of a Metaverse Applications Virtual reality The social network company Facebook launched a social VR world named Facebook Horizon in 2019. Facebook chairman Mark Zuckerberg confirmed in 2021, a company pledged to develop a metaverse. Several VR technologies promoted by Meta Platforms remain to be developed. Microsoft developed the VR Company AltspaceVR in 2017. Microsoft has since applied metaverse features for example virtual avatars and meetings thought in virtual reality into Microsoft Teams. Future implementations for metaverse technology comprise refining work output, shared learning environments, e-commerce, real estate, and fashion. Video games Many works of metaverse technologies have by now been developed inside modern internet-enabled video games. The Second Life is combined several features of social media into a determined three-dimensional world with the user signified as an avatar. Social functions are repeatedly an integral story in many hugely multiplayer online games. Social-based gameplay of Minecraft characterizes an innovative analog of a metaverse. Hardware Technology Entrance points for metaverse comprise general-purpose computers and smartphones. Also, included augmented reality (AR), mixed reality, virtual reality (VR), and virtual world technologies. Need on VR technology has limited metaverse growth and wide-scale acceptance. Limits of moveable hardware and the requirement to balance cost and design have produced a deficiency of high-quality graphics and mobility. Lightweight wireless headsets have fought to attain the retina display pixel density required for visual immersion. Present hardware development is dedicated to choking limitations of VR headsets, sensors, and growing immersion with haptic technology. Software Technology There has been nothing for wide-scale acceptance of a uniform technical requirement for metaverse applications. Current applications depend chiefly on proprietary technology. Interoperability is the main anxiety in metaverse development. There have been a number of virtual environment standardization projects. Metaverse is known as a three-dimensional Internet that is occupied with live people. The technology company NVIDIA declared in 2021 they will accept USD for their metaverse development tools. The OpenXR is an open standard for entree into virtual and augmented reality plans and involvements. It has been accepted by Microsoft for HoloLens 2, Meta Platforms for the Oculus Quest, and Valve for SteamVR. For more details visit: https://www.technologiesinindustry4.com
