Search Results for "map it" - Page 2
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Showing 176 open source projects for "map it"
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SSD in PyTorch 1.0
High quality, fast, modular reference implementation of SSD in PyTorch
This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and maskrcnn-benchmark. This repository aims to be the code base for research based on SSD. Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can... -
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Repeater-START
Showing The Amateur radio Repeaters Tool
Repeater-START (Showing The Amateur Repeaters Tool) is an app to view nearby ham radio repeaters. It runs on Windows, Android, Ubuntu Linux and Raspbian for Raspberry-pi, Librem Phone, Pinephone/Manjaro Linux etc. -
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SIREN
Renewable Energy Network tool
...Users explore potential location and scale of renewable energy sources (stations, storage, transmission) to meet electricity demand. SIREN allows you to build scenarios for the energy mix for your area of interest. It is based around the map of your chosen area and allows you to visualise the layout of the existing electricity network plus the additional stations you place on the map to build your scenario(s). The map initially shows the main skeleton of the existing electricity grid infrastructure and current generation stations. The strength of the simulation is in running the SAM models developed by US NREL for each renewable station in your current simulation. ... -
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Filt8- v3.6 alerts for WSJT-X FT8
Alert and filter QSO for WSJT-X FT8 FT4
...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 https://sourceforge.net/projects/js8map/ for this same option for JS8Call) Map feature allows filtering by band, listings by callsigns or grids, and callsign lookups via QRZ or HamCall (this requires Internet). ... -
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LOTV Maps
Pick random Starcraft 2 maps from the historical ladder map pool.
A tiny app to pick random maps from the Starcraft 2 map pool. Allows players to pick random maps to play custom games in. -
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A powerful editor for video games based on or similar to id Software's series of Quake games. Currently QuArK supports 41 distinct games, 5 generic game engines, and a countless number of expansions packs, addons, and mods. It integrates a map editor, model editor, archive editors, texture management, and much more.
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OpenFieldAI - AI Open Field Test Tracker
OpenFieldAI is an AI based Open Field Test Rodent Tracker
OpenFieldAI use AI-CNN to track rodents movement with pretrained OFAI models , or user could create their own model with YOLOv8 for inferencing. The software generates Centroid graph, Heat map and Line path and a spreadsheet containing all calculated parameters like - Speed - Time in and out of ROI - Distance - Entries/Exits for single/multiple pre-recorded videos or live webcam video. The ROI is assigned automatically in multiple video input , and can be manually given in single input. - For Queries/ Reporting Bugs, contact: kabeermuzammil614@gmail.com - Available on WIndows OS - Software Authorship - Muzammil Kabier and Shamili Mariya Varghese ( Sole Authors ) -
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DarkRadiant
Cross-Platform Level Editor for Doom3 and The Dark Mod
Project has been moved to https://github.com/codereader/DarkRadiant! DarkRadiant is an overhauled version of GTKRadiant designed for use with The Dark Mod stealth game (https://www.thedarkmod.com), a Thief-inspired game making use of the idTech4 engine. DarkRadiant is capable of editing maps in The Dark Mod, Doom 3, Quake 4 and XreaL. -
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Stable Diffusion in Docker
Run the Stable Diffusion releases in a Docker container
...Save the user access token in a file called token.txt and make sure it is available when building the container. Create an image from an existing image and a text prompt. Modify an existing image with its depth map and a text prompt. -
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Keras Attention Mechanism
Attention mechanism Implementation for Keras
...Both have the same number of parameters for a fair comparison (250K). The attention is expected to be the highest after the delimiters. An overview of the training is shown below, where the top represents the attention map and the bottom the ground truth. As the training progresses, the model learns the task and the attention map converges to the ground truth. We consider many 1D sequences of the same length. The task is to find the maximum of each sequence. We give the full sequence processed by the RNN layer to the attention layer. We expect the attention layer to focus on the maximum of each sequence. -
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NanoDet-Plus
Lightweight anchor-free object detection model
...We also introduce a light feature pyramid called Ghost-PAN to enhance multi-layer feature fusion. These improvements boost previous NanoDet's detection accuracy by 7 mAP on COCO dataset. NanoDet provide multi-backend C++ demo including ncnn, OpenVINO and MNN. There is also an Android demo based on ncnn library. Supports various backends including ncnn, MNN and OpenVINO. Also provide Android demo based on ncnn inference framework. -
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DDPM-CD
Remote sensing change detection using denoising diffusion models
...We fine-tune a light-weight change detection head which takes multi-level feature representations from the pre-trained diffusion model as inputs and outputs change prediction map. -
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DeepCTR
Package of deep-learning based CTR models
...The data in CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Since DNN are good at handling dense numerical features,we usually map the sparse categorical features to dense numerical through embedding technique. -
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BEVFormer
Implementation of BEVFormer, a camera-only framework
3D visual perception tasks, including 3D detection and map segmentation based on multi-camera images, are essential for autonomous driving systems. In this work, we present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries. ... -
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G2SConverter
Convert models from GoldSource engine to 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. After the Upscaling procedure, the texture is deblured using the Scale-recurrent Network for Deep Image Deblurring. ... -
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PromptSource
Toolkit for creating, sharing and using natural language prompts
...A common denominator in these works is the use of prompts which has gained interest among NLP researchers and engineers. This emphasizes the need for new tools to create, share and use natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target output. PromptSource contains a growing collection of prompts (which we call P3: Public Pool of Prompts). As of January 20, 2022, there are ~2'000 English prompts for 170+ English datasets in P3. -
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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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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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Transarctica Remake
Open source revival of the game Transarctica / Arctic Baron
The main goal of the project to offer the original game's full functionality. Roam a hostile frozen world in a futuristic steampunk train, fight exciting train battles and try to stay alive against all odds while searching for clues about the "Sun". -
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ADFRsuite
Automated docking software tools from the Sanner lab at Scripps
the ADFRsuite provides a self contain python-based software environment with various tools for automated docking. visit ccsb.scripps.edu/adfr for more info -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to... -
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Earth Enterprise
Google Earth Enterprise - Open Source
...Unlike Google Maps or Google Earth, Earth Enterprise does not include Google’s proprietary imagery but instead provides the tools needed to manage and visualize private geospatial datasets. The system is composed of three main components: Fusion, which processes and integrates imagery, vector, and terrain data into unified map layers; Server, which hosts the resulting globes or maps via Apache or Tornado-based web servers; and Client, which includes the Google Earth Enterprise Client (EC) for 3D visualization and the Google Maps JavaScript API V3 for 2D viewing. Designed for enterprise, research, and government use, it allows for secure, scalable deployment of geospatial visualization systems within private infrastructure. -
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Multi-Agent path planning in Python
Python implementation of a bunch of multi-robot path-planning
multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI. -
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DensePose
A real-time approach for mapping all human pixels of 2D RGB images
...DensePose is widely used in augmented reality, motion capture, virtual try-on, and visual effects applications because it enables real-time 3D human mapping from 2D inputs. The model architecture builds on Mask R-CNN, using additional regression heads to predict UV coordinates that map image pixels to 3D surfaces. -
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Koxinga
Like board game Jamaica
...Englis game rule: https://sourceforge.net/projects/koxinga/files/Koxinga_English_User_Guide.pdf/download Chinese game rule: https://sourceforge.net/projects/koxinga/files/koxinga_chinese_manual.pdf/download Major deference between Koxinga and Jamaica: 1. Jamaica is not random map and map size is also different 2. Jamaica execute two dice action(morning and night action) each player. But Koxinga execute one dice action and execute the other dice action on next turn 3. The treasure card of Jamaica have special function and negative score card. Koxinga didn't have special and negative card. But Koxinga may get 7 food or 7 gold 4. ...
