Search Results for "art" - Page 8
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Showing 1062 open source projects for "art"
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asciified
A simple ASCII Art API with a good-looking Web App
asciified is a small web app that gives you the ability to create figlets using the figlet package. You can either use this web app and copy the figlet you like or you can also use the API I exposed for you. Make HTTP GET requests to /API/v2 and set the text parameter. Optionally you can set the font parameter to specify the output font. -
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Gemma
Gemma open-weight LLM library, from Google DeepMind
...Through included tutorials and Colab notebooks, users can explore examples covering sampling, multi-modal interactions, and fine-tuning workflows. By providing accessible open-weight models, Gemma enables researchers and developers to experiment with state-of-the-art LLM architectures. -
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image-to-ascii
A Node.js module that converts images to ASCII art
image-to-ascii is a Node.js module that converts raster images into character-based terminal artwork. Input can come from a local file, remote URL, or in-memory Buffer. The converter maps pixel brightness to a configurable sequence of ASCII characters. It can preserve the original colors through ANSI foreground or background styles or generate plain monochrome output. Options control width, height, screen fitting, aspect ratio, transparency, reversed brightness, and custom background colors.... -
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Latent Box
A collection of awesome-lists for AI, creativity and art. AI
Latent Box is an open-source platform focused on managing, deploying, and interacting with local or self-hosted AI models through a unified interface that simplifies experimentation and usage. It is designed to act as a control layer for running generative models, particularly those related to text and multimodal outputs, while maintaining full ownership of data and infrastructure. The platform emphasizes usability by providing a clean user interface that allows users to load models,... -
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NVIDIA Model Optimizer
A unified library of SOTA model optimization techniques
Model Optimizer is a unified library that provides state-of-the-art techniques for compressing and optimizing deep learning models to improve inference efficiency and deployment performance. It brings together multiple optimization strategies such as quantization, pruning, distillation, and speculative decoding into a single cohesive framework. The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying large models in production environments. ... -
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Map of GitHub
Inspirational Mapping
...Users can zoom in to explore hotspots like major metropolitan areas or zoom out to see global patterns of activity, making it both a data analytics tool and a piece of data art. The map highlights where developers live, where projects originate, and how open-source participation varies around the world, offering insights into the geography of technology culture and innovation. -
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MemU
MemU is an open-source memory framework for AI companions
MemU is an agentic memory layer for LLM applications, specifically designed for AI companions. Transform your memory into an intelligent file system that automatically organizes, connects, and evolves with your memories. Simple, fast, and reliable memory infrastructure for AI applications. Powerful tools and dedicated support to scale your AI applications with confidence. Full proprietary features, commercial usage rights, and white-labeling options for your enterprise needs. SSO/RBAC... -
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glChAoS.P
3D GPUs Strange Attractors and Hypercomplex Fractals explorer
...The software includes extensive customization of rendering parameters, camera movement, and output formats, including support for VR and 360-degree panoramic videos. It’s widely used for both scientific visualization and generative art. -
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TorchDistill
A coding-free framework built on PyTorch
torchdistill (formerly kdkit) offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code. Even when you need to extract intermediate representations in teacher/student models, you will NOT need to reimplement the models, which often change the interface of the forward, but instead specify the module path(s) in the yaml file. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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Immutables
Annotation processor to create immutable objects and builders
Java annotation processors to generate simple, safe, and consistent value objects. Do not repeat yourself, try Immutables, the most comprehensive tool in this field. With Immutables you can generate state-of-the-art immutable objects and builders. Type-safe, null-safe and thread-safe, with no boilerplate. Generate builders for immutable objects and even plain static factory methods. Just add jar to classpath and use. No required runtime dependencies! Guava is supported, but not required. Works out-of-the-box with build tools, integrates into IDEs. ... -
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talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
...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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x-transformers
A simple but complete full-attention transformer
A simple but complete full-attention transformer with a set of promising experimental features from various papers. Proposes adding learned memory key/values prior to attending. They were able to remove feedforwards altogether and attain a similar performance to the original transformers. I have found that keeping the feedforwards and adding the memory key/values leads to even better performance. Proposes adding learned tokens, akin to CLS tokens, named memory tokens, that is passed through... -
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HanLP
Han Language Processing
HanLP is a multilingual Natural Language Processing (NLP) library composed of a series of models and algorithms. Built on TensorFlow 2.0, it was designed to advance state-of-the-art deep learning techniques and popularize the application of natural language processing in both academia and industry. HanLP is capable of lexical analysis (Chinese word segmentation, part-of-speech tagging, named entity recognition), syntax analysis, text classification, and sentiment analysis. It comes with pretrained models for numerous languages including Chinese and English. ... -
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DeepCamera
Open-Source AI Camera. Empower any camera/CCTV
DeepCamera empowers your traditional surveillance cameras and CCTV/NVR with machine learning technologies. It provides open-source facial recognition-based intrusion detection, fall detection, and parking lot monitoring with the inference engine on your local device. SharpAI-hub is the cloud hosting for AI applications that helps you deploy AI applications with your CCTV camera on your edge device in minutes. SharpAI yolov7_reid is an open-source Python application that leverages AI... -
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Overtone
Collaborative programmable music
Overtone is an open-source audio environment designed to explore new musical ideas from synthesis and sampling to instrument building, live coding and collaborative jamming. We combine the powerful SuperCollider audio engine, with Clojure, a state-of-the-art lisp, to create an intoxicating interactive sonic experience. Synchronize your visuals and noise with ease. Overtone features seamless integration with both Quil, a Clojure front-end to Processing and ShaderTone, a Clojure version of ShaderToy an OpenGL glsl shader programming environment. Overtone has been designed and engineered for live coding. ... -
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Art Revolution project for the Open Source real-time strategy game Warzone 2100, originally developed by Pumpkin studios and published by Eidos Interactive. This project aims to establish a new graphical quality level for the game as a whole. ARmod is licensed and available under: cc-by-sa-3.0 (or, at your discretion, any later version) Alternatively, ARmod may be used & distributed under the terms of the GNU General Public License Version 2 or later (the "GPL").
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Quod Libet
Music player and music library manager for Linux, Windows, and macOS
Quod Libet is a cross-platform audio/music management program. It provides many ways to view your local library, and supports streaming audio and feeds (podcasts, etc). It has extremely flexible metadata editing and searching capabilities. With over 90 plugins included, you can extend and integrate with almost anything, or write your own! Ex Falso is a bare-bones tag editor with the same editing interface as Quod Libet. Quod Libet is a GTK+-based audio player written in Python, using the... -
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Poetiq
Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1
poetiq-arc-agi-solver is the open-source codebase from Poetiq that replicates their record-breaking submission to the challenging benchmark suite ARC-AGI (both ARC-AGI-1 and ARC-AGI-2). The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed... -
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Qwen2.5-Math
A series of math-specific large language models of our Qwen2 series
...Unlike its predecessor Qwen2-Math, Qwen2.5-Math supports both Chain-of-Thought (CoT) reasoning and Tool-Integrated Reasoning (TIR) for solving math problems, and works in both Chinese and English. It is optimized for solving mathematical benchmarks and exams; the 72B-Instruct model achieves state-of-the-art results among open source models on many English and Chinese math tasks. -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. ... -
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fish
The user-friendly command line shell
Finally, a command line shell for the 90s. fish is a smart and user-friendly command line shell for Linux, macOS, and the rest of the family. fish suggests commands as you type based on history and completions, just like a web browser. Watch out, Netscape Navigator 4.0! fish supports 24 bit true color, the state of the art in terminal technology. Behold the monospaced rainbow. fish is fully scriptable, and its syntax is simple, clean, and consistent. You'll never write esac again. For those lucky few with a graphical computer, you can set your colors and view functions, variables, and history all from a web page. Other shells support programmable completions, but only fish generates them automatically by parsing your installed man pages. fish will delight you with features like tab completions and syntax highlighting that just work, with nothing new to learn or configure. -
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model2Vec
Fast State-of-the-Art Static Embeddings
model2vec is an innovative embedding framework that converts large sentence transformer models into compact, high-speed static embedding models while preserving much of their semantic performance. The project focuses on dramatically reducing the computational cost of generating embeddings, achieving significant improvements in speed and model size without requiring large datasets for retraining. By using a distillation-based approach, it can produce lightweight models that run efficiently on... -
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dots.ocr
Multilingual Document Layout Parsing in a Single Vision-Language Model
...Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. The model is designed to recognize virtually any human script, making it highly effective for global and low-resource language scenarios. It achieves state-of-the-art performance on document parsing benchmarks while maintaining a relatively compact model size, demonstrating efficiency without sacrificing accuracy. Beyond standard OCR tasks, it extends its capabilities to parse complex visual elements such as charts, diagrams, and web interfaces, converting them into structured outputs like SVG code. -
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Google Research: Language
Shared repository for open-sourced projects from the Google AI Lang
Google Research: Language is a shared repository maintained by Google Research that contains open-source projects developed by the Google AI Language team. The repository hosts multiple subprojects related to natural language processing, machine learning, and large-scale language understanding systems. Many of the projects included in the repository correspond to research papers released by Google researchers and provide implementations of new NLP algorithms or experimental frameworks. These...
