Search Results for "learning" - Page 67
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Showing 4819 open source projects for "learning"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Kindle Mate(KMate)
Kindle clippings and Kindle Vocabulary Builder manager
KMate is the ultimate reading companion for Kindle users — and the all-new, cross-platform successor to Kindle Mate, the classic Kindle notes manager trusted by readers worldwide for over a decade. It is the only Kindle assistant that unifies cross-device import, cloud sync, vocabulary & dictionary management, flexible export, reading analytics, and AI-powered definitions — all in one app. ******************************************************************************* KMate: Windows: ... -
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RE/flex lexical analyzer generator
The regex-centric, fast lexical analyzer generator for C++
A C++ high-performance regex library and Flex-compatible lexical analyzer generator with full Unicode support, new indentation anchors, lazy quantifiers, and many other modern features. Accepts Flex lexer specification syntax and is compatible with Bison/Yacc parsers. Generates reusable source code that is easy to understand. Supports fast scanning of UTF-8/16/32 files, strings, and streams. The reflex scanner generator generates clean C++ lexer class code that is thread-safe. Generates... -
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FMOCPP
Eclipse C/C++ MinGW MSYS2
The project aims to simplify the combined use of Eclipse, MinGW, and MSYS2 by providing a more accessible solution for preparing the development environment, compiling source code, and running C/C++ applications. In this way, students can focus on learning the fundamentals of programming, computational logic, and software solution development, while reducing the initial technical difficulties related to system paths, compilers, terminals, and dependencies. -
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Universal Sentence Encoder
Encoder of greater-than-word length text trained on a variety of data
The Universal Sentence Encoder (USE) is a pre-trained deep learning model designed to encode sentences into fixed-length embeddings for use in various natural language processing (NLP) tasks. It leverages Transformer and Deep Averaging Network (DAN) architectures to generate embeddings that capture the semantic meaning of sentences. The model is designed for tasks like sentiment analysis, semantic textual similarity, and clustering, and provides high-quality sentence representations in a computationally efficient manner. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
...Talos is made for data scientists and data engineers that want to remain in complete control of their TensorFlow (tf.keras) and PyTorch models, but are tired of mindless parameter hopping and confusing optimization solutions that add complexity instead of reducing it. Within minutes, without learning any new syntax, Talos allows you to configure, perform, and evaluate hyperparameter optimization experiments that yield state-of-the-art results across a wide range of prediction tasks. Talos provides the simplest and yet most powerful available method for hyperparameter optimization with TensorFlow (tf.keras) and PyTorch. -
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Avocado programming language
Avocado Polish programming language
Avocado is a modern programming language with a simple, Python-like syntax, supporting commands in both Polish and English. The code is transpiled to Free Pascal and compiled into a native .exe, ensuring C/Rust-level performance (Zero-Runtime). 🔥 New: Avoraiser GUI Framework Avocado is no longer just for the console! We have introduced Avoraiser, an ultra-lightweight framework for building desktop applications. It provides 426 new capabilities, bringing the total to over 700 built-in... -
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Dosidicus
Tamagotchi-style digital pet with a neural network that can learn
...The squid makes autonomous decisions based on current state (hunger, sleepiness, etc.). Implements a vision cone for food detection, simulating realistic foraging behavior. Hebbian learning algorithm runs every 30 seconds (configurable) Experiences from short-term and long-term memory can influence decision-making Squid can create new neurons in response to his environment (Neurogenesis) Design your own squid brain with GUI tools! Needs Management System: Tracks various needs like hunger, sleepiness, happiness, and cleanliness. ... -
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Kandeta is the translation management tool that finally makes sense. Whether you're a solo developer juggling multiple languages or part of a team coordinating global releases, Kandeta brings order to your translation process.
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AlgoUp
AI-powered trading bot with advanced algorithms for optimized profit.
AlgoUp is an advanced AI-powered trading bot designed to optimize your investment strategies. Utilizing cutting-edge algorithms, AlgoUp implements smart profit strategies to maximize returns while effectively managing risk. One of its standout features is a robust stop-loss mechanism that helps protect your funds from significant downturns, ensuring your capital remains secure. AlgoUp operates seamlessly in standalone mode or can be integrated with all major exchanges, providing... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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I'm just a developer learning
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Customer Relationship Management (CRM)
a powerful tool that helps businesses manage, track, and analyze
Boost Customer Engagement & Sales with the Best CRM Software for Your Business Looking to streamline your customer interactions, boost sales, and grow lasting relationships with your clients? Our powerful, easy-to-use CRM software is designed to help businesses of all sizes manage their customer relationships more efficiently and effectively. Whether you're a small business owner, sales manager, or part of a growing enterprise, our customer relationship management tool gives you... -
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AIF360
A comprehensive set of fairness metrics for datasets
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. We invite you to use and improve it. The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. AI Fairness 360 package is available in both Python and R. ... -
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Just download the above zip file, extract it and then open the index.html file on internet browsers like Firefox ( preferable ) or Google Chrome.
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DeepChem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc
...The DeepChem project maintains an extensive collection of tutorials. All tutorials are designed to be run on Google collab (or locally if you prefer). Tutorials are arranged in a suggested learning sequence that will take you from beginner to proficient at molecular machine learning and computational biology more broadly. -
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Nest-o-Patch
Software for analysis of patch-clamp recordings and other wave data
This program was designed mainly for preconditioning and analysis of electrophysiological data, including patch-clamp and 2-electrode voltage clamp recordings. The program includes tools both for basic analysis of whole-cell recordings or analysis of single channel properties. Program can display and analyse long traces incuding many sweeps, series and even groups simultaneously. Current amplitudes or time intervals are easily measured. Single channel conductance, kinetics, NPo, as well as... -
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OneFile
Curates delightful open-source projects
OneFile curates delightful open-source projects that each consist of a single file, highlighting how much you can learn from compact, self-contained code. The collection spans tiny games, utilities, servers, interpreters, and teaching demos where the entire idea fits in one readable source. This “one file” constraint makes every example approachable—you can open it, grasp the full control flow, and experiment without navigating a large codebase. It’s ideal for learners seeking quick wins or... -
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Data Annotator for Machine Learning
Data annotator for machine learning
Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning. Data Annotator for Machine Learning (DAML) is an application that helps machine learning teams facilitate the creation and management of annotations. Active learning with uncertain sampling to query unlabeled data. Project tracking with real-time data aggregation and review process. -
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Premium Markets
Premium Markets is an automated financial technical analysis system.
...Full installation instructions can be found at http://www.premiummarkets.uk/html/swtui.html#Download . I would also like to bring to your attention that, in its advanced version, Premium Markets also provides a Forecast machine learning engine based on neural networks. See http://www.premiummarkets.uk/ for documentation and a workable demo of the trend forecast and prediction engine. -
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SMLX
A sheet music language, easy and intuitive to use
The purpose of SMLX project is to devise a sheet music language that most digital devices with keypad (e.g. mobile phones) can type melodies easily and intuitively for communication. From this basic, SMLX is capable of being a language for developing music. In other words, one can compose or modify music (multi-channel) by using vi editor. SMLX 計劃的主要目的是開發一種樂譜記載方式,以方便數位樂譜記錄及傳訊交流的目的. 對於音樂為主的使用者而言,使用一般vi編輯器即可編修多軌樂譜: .方便輸入修改: 一般傳(簡)訊時可簡易使用鍵盤表達旋律. 一般所見到的樂譜都可 ... -
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JQM Java Quine McCluskey
JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for... -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
Lago is a study-oriented library of classic data structures and algorithms implemented in JavaScript with an emphasis on readability and learning. Instead of aiming to be a production runtime, it serves as a reference you can step through to understand how arrays, stacks, queues, linked lists, trees, heaps, graphs, and sorting/searching routines actually work. The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking or coming from non-CS backgrounds. ... -
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minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm
...It operates on UTF-8 encoded bytes rather than Unicode characters, which makes it robust to arbitrary text inputs and avoids needing a language-specific character vocabulary. The repository is structured as a teaching-oriented implementation that shows how to train a tokenizer by learning merge rules, then apply those merges to encode text into token IDs and decode tokens back into text. It is intentionally small and readable so developers can understand each stage of BPE, including the mechanics of pair counting, merge application, and vocabulary growth. The project is especially useful for practitioners who want to demystify how LLM tokenizers work or who need a lightweight reference implementation for experimentation. -
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A Survey of Surveys
A collection of 1000+ survey papers on Natural Language Processing
...These topics include areas such as neural machine translation, language models, computer vision, and deep learning architectures. The repository organizes hundreds of papers into thematic categories and includes references, links, and bibliographic information to facilitate research and literature exploration. -
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Encord Active
The toolkit to test, validate, and evaluate your models and surface
Encord Active is an open-source toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling to supercharge model performance. Encord Active has been designed as a all-in-one open source toolkit for improving your data quality and model performance. Use the intuitive UI to explore your data or access all the functionalities programmatically. Discover errors, outliers, and edge-cases within your data - all in one open source... -
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Masuratori optimizate CMM
Sabloane masuratori
Aceste sabloane sunt create pentru a putea oferi o gama larga de programe create de la zero pentru corpuri cu forme complexe din viata de zi cu zi ce vor servi ca ajutor de baza utilizatorilor de CMM-uri din intreaga lume.