Search Results for "random map generation" - Page 4
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Showing 271 open source projects for "random map generation"
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Geographical Adventures
Geography game about delivering packages
Geographical Adventures is a collection of projects and experiments focused on procedural generation and geographic simulation, showcasing how complex environments can be created through code. It includes implementations of terrain generation, map systems, and spatial algorithms that simulate real-world geographical features. The project is designed as both a learning resource and a demonstration of procedural techniques, allowing users to explore how landscapes and environments can be generated algorithmically. ... -
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TextGen
textgen, Text Generation models
Implementation of Text Generation models. textgen implements a variety of text generation models, including UDA, GPT2, Seq2Seq, BART, T5, SongNet and other models, out of the box. UDA, non-core word replacement. EDA, simple data augmentation technique: similar words, synonym replacement, random word insertion, deletion, replacement. This project refers to Google's UDA (non-core word replacement) algorithm and EDA algorithm, based on TF-IDF to replace some unimportant words in sentences with synonyms, random word insertion, deletion, replacement, etc. method, generating new text and implementing text augmentation This project realizes the back translation function based on Baidu translation API, first translate Chinese sentences into English, and then translate English into new Chinese. ... -
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corlpack
Ada Library for heterogenous vectors
Corlpack consists of a library and tools aiming to simplify and accelerate programming of small, scientific, computational applications. One of the planned features is the loading and saving of a variety of research data into a single generic data structure, that is much like the named list from R, thus removing the need to learn many data access APIs. -
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library-brainmap
Brain Neuron Map
...Whether you're a developer, a researcher, or simply an enthusiast, this library opens up endless possibilities for representing and navigating complex systems. Features Brain Neuron Map Generation: Design visually striking neuron maps that emulate the intricate connections within a brain. Maze Generation: Effortlessly generate mazes of varying complexity, perfect for games, puzzles, and simulations. Path-Finding Interface: Implement an intuitive path-finding interface to navigate through your designed maps and mazes. ... -
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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Infinite Monkeys Random Poetry Generator
n-grams & template generation, hyper-DADA, part of speech tagging
im3 incorporates part of speech tagging to generate text from templates. --> Inlcudes scripting language --> Dictionary editor --> ngram Generation --> Computer voice playback --> CMU pronouncing dictionary --> Part of Speech Training Interface --> Learning AI -
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Memory Layout Specification Tool
A tool for generating memory maps for low-level and embedded systems.
The Memory Layout Specification Tool (MLST) is a file specification and a collection of tools for conveying the contents of a memory map. MLST can take an appropriately formatted specification and create both a representation of the memory map for a assembler and documentation from the input file. -
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Argh
Rust derive-based argument parsing optimized for code size
argh is a tiny, pragmatic command-line argument parsing library that favors simple, readable code over elaborate configuration. It’s designed for the case where you just want to declare a few flags, accept some positional arguments, and print helpful usage text without wiring up a heavy framework. The API is intentionally compact so you can parse arguments inline near main() and map them straight into native types. It supports short and long options, boolean switches, and key–value flags... -
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Diffusers-Interpret
Model explainability for Diffusers
...Model explainability for Diffusers. Get explanations for your generated images. Install directly from PyPI. It is possible to visualize pixel attributions of the input image as a saliency map. diffusers-interpret also computes these token/pixel attributions for generating a particular part of the image. To analyze how a token in the input prompt influenced the generation, you can study the token attribution scores. You can also check all the images that the diffusion process generated at the end of each step. Gradient checkpointing also reduces GPU usage, but makes computations a bit slower. -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. ... -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
...The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target count statistics, learning rate scheduling with step and cosine options, and optimizer selection between Adam and SGD. It also includes adaptive learning rate adjustment based on batch size, image cropping, many configurable parameters, and expanded comments for easier study. ... -
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G2SConverter
Convert models from GoldSource engine to Source engine with AI
Convert models from GoldSource engine to the Source engine with AI. This utility converts GoldSource engine models to Source engine models. A feature of this utility is the ability to improve the quality of textures of models using Upscaling, deblurring, and normal map generating. All operations to improve the quality of textures are performed by neural networks. To improve the quality of the texture, it is first Upscaled using RealESRGAN. The user can select scaling factor: x2, x4 or x8.... -
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RQ-Transformer
Implementation of RQ Transformer, autoregressive image generation
Implementation of RQ Transformer, which proposes a more efficient way of training multi-dimensional sequences autoregressively. This repository will only contain the transformer for now. You can use this vector quantization library for the residual VQ. This type of axial autoregressive transformer should be compatible with memcodes, proposed in NWT. It would likely also work well with multi-headed VQ. I also think there is something deeper going on, and have generalized this to any number of... -
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Mkpass
Mkpass - Command line Secure Password Generator
mkpass is a simple command line utility to generate secure random passwords. You can easily redirect these to a clipboard or copy and paste as needed. I use a password manager and generate random passwords every time I need one. And while most password managers include a generator, there are times I need one outside of that. The code is written in java so it should run on any OS that supports it. Lastly, the idea and core code came from a Wikipedia article. I just took this and... -
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Unique Names Generator
Generate unique and memorable name strings
unique-names-generator is a lightweight JavaScript library that generates random, unique, and human-readable names. It is useful for generating usernames, IDs, and other identifiers. -
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Skillmap
A tool for generating skill map/tree like diagram
A tool for generating a skill map/tree-like diagram. Skill tree is a term used in video games, and it can be used for describing roadmaps for software project development as well. When you are building a software project, you can use the concept of skill tree/technology tree to describe the steps you need to take to build the project. -
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Internet of Things RandOm GENerator
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text_renderer
Generate text images for training deep learning ocr model
...Optional CUDA-enabled OpenCV processing can accelerate generation, although the repository points users to a newer successor project. -
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WFMATH Java Bindings
Java language bindings for WFMATH
This project is a subproject of the WFMATH library, a library providing several complex mathematical primitives. This library will allow Java programmers to use WFMATH in their code. -
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Wheefun Math Library
A C/C++ library for performing mathematics.
The Wheefun Math Library (WFMATH) is a library that contains extended mathematical functionality not included in C89 and C++98. It aims to portably provide this functionality for projects which may require them. It uses an object-oriented framework, utilizing a SDL-style dispatch tables in C and special wrapper classes in C++. It is also designed so that new bindings to other languages can be written with effort. -
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json iterator
High-performance 100% compatible drop-in replacement of encoding/json
Add import "github.com/json-iterator/go" and replace json.Marshal with jsoniter.Marshal. Then the code should behave exactly the same, just much faster. Unlike easyjson or other json libaries, jsoniter does not rely on static code generation. Unmarshal, NewEncoder, NewDecoder they all works. Existing types implemented Marshaler or Unmarshaler interface will also work. Map with non-string key also work. Yes, everything just works. The default performance is already several times faster than the standard library. Use jsoniter.ConfigFastest, this will marshal the float with 6 digits precision (lossy), which is significantly faster. -
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SoundHelix
Versatile algorithmic random music generation software written in Java
SoundHelix is a free versatile Java framework for algorithmic random music composition. SoundHelix can generate random songs, play them (for example, on any number of MIDI devices or MIDI-capable software synthesizers) and is highly customizable using XML configuration. SoundHelix also allows writing the generated music as MIDI files. SoundHelix produces music that is actually enjoyable to listen to. -
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Mark Mind
Mind map and outliner editor for Windows, Mac, Linux, Android and iOS
Mark Mind is a next-generation mind map editor. A mind map and outline tool based on electron vue. -
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CAM
Class Activation Mapping
This repository implements Class Activation Mapping (CAM), a technique to expose the implicit attention of convolutional neural networks by generating heatmaps that highlight the most discriminative image regions influencing a network’s class prediction. The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light... -
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Wombat
Cross platform gRPC client
Cross-platform gRPC client. -
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XoshiroPRNG.Net
Xoshiro PRNG family implementation for .Net
The Xoshiro PRNG family contains algorithms that are both performant and passes statistical tests. This is a port of (some of the) Xoshiro PRNG algorithms into C#, written in such a way that they can act as System.Random drop-in replacement, or as fully-fledged standalone PRNG with additional methods.
