Search Results for "patterns" - Page 8
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Showing 295 open source projects for "patterns"
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AutoViz
Automatically Visualize any dataset, any size
AutoViz is a Python data visualization library designed to automate exploratory data analysis by generating multiple visualizations with minimal code. The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the data. AutoViz supports a wide range of visualization types including scatter plots, histograms, bar charts, and correlation plots, making it suitable for analyzing both structured and large datasets. ... -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
...Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. You’ll also practice advanced patterns such as tool use, constrained generation, and response validation so outputs are trustworthy and machine-consumable. -
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Croizat
A software package for quantitative analysis in Panbiogeography
Croizat is a free, user-friendly, cross-platform desktop software package which biologists can use to integrate and analyze spatial data on species or other taxa and to explore geographical patterns in diversity under a panbiogeographic and graph-theoretic approach. -
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InternVL
A Pioneering Open-Source Alternative to GPT-4o
...The project focuses on scaling vision models and aligning them with large language models so that they can perform tasks involving both visual and textual information. InternVL is trained on massive collections of image-text data, enabling it to learn representations that capture both visual patterns and semantic meaning. The model supports a wide variety of tasks, including visual perception, image classification, and cross-modal retrieval between images and text. It can also be connected to language models to enable conversational interfaces that understand images, videos, and other visual content. By combining large-scale vision architectures with language reasoning capabilities, the project aims to create a more general multimodal AI system capable of handling diverse real-world tasks. -
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GramAddict
Completely free and open-source human-like Instagram bot
GramAddict is a fully open-source Instagram automation bot designed to simulate human-like interaction on Android devices using UI automation rather than direct API calls. It operates through ADB and UIAutomator2, meaning it interacts with the Instagram app as if it were a real user, reducing the risk of detection compared to API-based bots. The tool can automate a wide range of actions such as liking posts, following users, sending messages, and browsing content, all while introducing... -
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Automated Interpretability
Code for Language models can explain neurons in language models paper
...“this neuron activates when the input has property X”) and then simulates activation behavior across example inputs to test whether the explanation holds. The project also contains a “neuron viewer” web component for browsing neurons, explanations, and activation patterns, making it more interactive and exploratory. -
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Amphion
Toolkit for audio, music, and speech generation
...The toolkit is organized with example experiments (“egs”) and visualization demos that guide users through training, evaluation, and inspection of models. Built on the broader OpenMMLab ecosystem, Amphion follows modular design patterns and configuration systems similar to other OpenMMLab projects, easing adoption for users who are already familiar with that stack. -
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Puzzle Patch
Entertaining and interactive game of solving 50+ puzzle pieces
...Kids will love to play this game as it helps in their cognitive development, spatial awareness as they arrange these scrambled puzzle pieces into 1 perfect picture. Visual recognition will be improved as kids try to identify shapes, patterns. Puzzle Patch has a wide array of features and functionalities designed to immerse you in a world of captivating gameplay with immersive sounds and delightful interaction. With a friendly user interface, and options to change background color, solving the puzzle is more of fun. Join us in the world of Puzzle Patch and unleash your puzzle-solving prowess! ... -
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Mixtral offloading
Run Mixtral-8x7B models in Colab or consumer desktops
Mixtral-Offloading is an open-source project designed to enable efficient inference of large Mixture-of-Experts language models such as Mixtral-8x7B on hardware with limited GPU memory. The project implements techniques that allow model components to be dynamically moved between CPU memory and GPU memory during inference, significantly reducing the amount of GPU VRAM required to run the model. This approach takes advantage of the sparse activation properties of mixture-of-experts... -
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Enhanced Windows versions of the basic Unix file management tools (ls, cp, rm) that can handle recursive wildcards.
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Filt8- v3.6 alerts for WSJT-X FT8
Alert and filter QSO for WSJT-X FT8 FT4
THIS VERSION HAS A TABLE VIEW FOR SYSTEMS THAT DO NOT SUPPORT LARGE GRAPHIC DISPLAYS SUCH AS LOW-END LAPTOPS. CHECK OUT ft8mapper FOR BETTER GRAPHICS AND GRID TRACKING. Filt8 - v3.6 release - Requires Python 3.x (3.10 or higher on Mac) Scrollable maps for small screens State data as of Feb 25, 2024. Map saves settings. Map features: filter by band, click to Lookup. Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on ... -
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TensorFlow Addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
TensorFlow Addons is a repository of contributions that conform to well-established API patterns but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast-moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community). ... -
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Tiler
Build images with images
...Unlike traditional mosaic generators that rely on simple square grids, Tiler supports tiles with multiple shapes and sizes, allowing far more creative and flexible visual patterns. The software analyzes a target image and reconstructs it using a collection of smaller tile images or shapes that collectively approximate the original picture. This approach enables the creation of artistic mosaics built from objects such as circles, lines, letters, LEGO-style blocks, or other custom shapes. Because tiles can vary in form and arrangement, the resulting compositions can resemble handcrafted artwork rather than rigid pixel grids. ... -
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Flask-SQLAlchemy
Adds SQLAlchemy support to Flask
Flask-SQLAlchemy is an extension for Flask that adds support for SQLAlchemy to your application. It simplifies using SQLAlchemy with Flask by setting up common objects and patterns for using those objects, such as a session tied to each web request, models, and engines. Flask-SQLAlchemy does not change how SQLAlchemy works or is used. See the SQLAlchemy documentation to learn how to work with the ORM in depth. The documentation here will only cover setting up the extension, not how to use SQLAlchemy. -
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Doctor Dignity
Doctor Dignity is an LLM that can pass the US Medical Licensing Exam
...The code is designed to be hackable rather than production-grade, giving learners a chance to experiment with NLP flows and lightweight back-end components. It also highlights privacy-aware patterns and cautions that this kind of software must not replace licensed medical advice. As a teaching and ideation vehicle, the project invites contributors to iterate on intent classification, response templates, and safe-use boundaries. -
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ComfyUI Experiments
Some experimental custom nodes
ComfyUI_experiments is a playground repo for trying out new, sometimes unstable ideas in the ComfyUI ecosystem before they graduate into more official nodes or workflows. It’s where experimental nodes, pipelines, or integrations can live without breaking users’ main installations. The project is aimed at power users and contributors who want to see “what’s possible” with ComfyUI beyond the stable set of features. Because it is exploratory, the code may change often, rely on specific... -
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Flask RESTful Example
Flask backend development interface example, using Flask
...Celery, APScheduler, unit tests, coverage reports, Docker, Gunicorn, Nginx, and Drone CI demonstrate supporting infrastructure around the API. The repository is organized as a collection of real backend patterns rather than a single narrowly focused service. -
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Edge GPT
Reverse engineered API of Microsoft's Bing Chat
EdgeGPT is a reverse-engineered client project that exposed a programmatic interface to Microsoft’s Bing Chat experience (often associated with “Edge” due to access patterns and requirements at the time). It was built to let developers run prompts and retrieve responses through scripts and applications, effectively turning the chat experience into something that could be automated and integrated into tools. The repository gained popularity because it provided a practical way to experiment with Bing Chat programmatically, including CLI-style usage patterns and developer-oriented documentation. ... -
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NuPIC
Numenta platform for intelligent computing
...HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed). ... -
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SocialPwned
OSINT tool to collect emails from social networks and find leaks
...SocialPwned also integrates with GHunt to retrieve additional public information related to Google accounts linked to the discovered emails. By combining social media intelligence with breach data analysis, SocialPwned helps investigators identify reused passwords and patterns that may indicate potential security weaknesses. -
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Python Mastery (Course)
Advanced Python Mastery
python-mastery is a collection of course materials created by David Beazley for teaching advanced Python programming concepts. It emphasizes deep understanding through real-world coding exercises and topics like generators, decorators, closures, and metaclasses. The repository is designed for learners who already know the basics of Python and want to push their skills to an expert level. -
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simpleaichat
Python package for easily interfacing with chat apps
...The package emphasizes simplicity over heavy frameworks, making it ideal for scripts, notebooks, and small services that need LLMs without architectural lock-in. It supports structured responses and validation patterns so your app can reliably parse model outputs instead of wrestling with brittle free-text parsing. The project encourages clean separation between system prompts, user messages, and tool outputs to keep conversations predictable. With convenience helpers for logging, environment configuration, and retries, it reduces the friction of moving from a quick experiment to a reliable internal tool. -
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iJEPA
Official codebase for I-JEPA
...The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most. -
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sense2vec
Contextually-keyed word vectors
sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. -
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missingno
Missing data visualization module for Python
...This quickstart uses a sample of the NYPD Motor Vehicle Collisions Dataset dataset. The msno.matrix nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion. At a glance, date, time, the distribution of injuries, and the contribution factor of the first vehicle appear to be completely populated, while geographic information seems mostly complete, but spottier. The sparkline at right summarizes the general shape of the data completeness and points out the rows with the maximum and minimum nullity in the dataset. ...
