Search Results for "python games code" - Page 51
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Showing 4444 open source projects for "python games code"
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dbt-re-data
re_data - fix data issues before your users & CEO would discover them
re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Data transformations in re_data are implemented and exposed as models & macros in this dbt package. Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up... -
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Ubix Linux
The Pocket Datalab
Ubix stands for Universal Business Intelligence Computing System. Ubix Linux is an open-source, Debian-based Linux distribution geared towards data acquisition, transformation, analysis and presentation. Ubix Linux purpose is to offer a tiny but versatile datalab. Ubix Linux is easily accessible, resource-efficient and completely portable on a simple USB key. Ubix Linux is a perfect toolset for learning data analysis and artificial intelligence basics on small to medium... -
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Evolutionary Algorithm
Evolutionary Algorithm using Python
Evolutionary Algorithm is an educational Python project that demonstrates evolutionary computation techniques such as genetic algorithms, evolution strategies, and neuroevolution in a clear and accessible way. Rather than being a single monolithic library, this repository provides a series of self-contained examples showing how different population-based search methods solve optimization problems and adapt candidate solutions over generations. Users can explore basic genetic algorithm... -
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Style Aligned
Official code for Style Aligned Image Generation via Shared Attention
StyleAligned is a diffusion-model editing technique and codebase that preserves the visual “style” of an original image while applying new semantic edits driven by text. Instead of fully re-generating an image—and risking changes to lighting, texture, or rendering choices—the method aligns internal features across denoising steps so the target edit inherits the source style. This alignment acts like a constraint on the model’s evolution, steering composition, palette, and brushwork even as... -
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AutoPR
Run AI-powered workflows over your codebase
AutoPR is an AI-driven tool for automating pull request (PR) generation and review processes. It streamlines code contributions by suggesting fixes, generating pull requests, and reviewing code using AI models, reducing manual overhead for developers. -
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Tiler
Build images with images
Tiler is an open-source tool that creates complex images by assembling many smaller images or shapes into a mosaic-style composition. 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... -
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Taylorplot_Neptune
Creation of a Taylorplot for several machine learning models
Here we present the lines of code for creating a taylor plot with python to display several machine learning models. We show the solution for displaying 10 models, but the list and number can be changed simply by modifying the sample list. -
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Shap-E
Generate 3D objects conditioned on text or images
The shap-e repository provides the official code and model release for Shap-E, a conditional generative model designed to produce 3D assets (implicit functions, meshes, neural radiance fields) from text or image prompts. The model is built with a two-stage architecture: first an encoder that maps existing 3D assets into parameterizations of implicit functions, and then a conditional diffusion model trained on those parameterizations to generate new assets. Because it works at the level of... -
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Random Colors
Generate random colors
Generate random colors click on the frame to generate a new color copy HEX code for use in a visual art and communication application -
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PipeRider
Code review for data in dbt
PipeRider automatically compares your data to highlight the difference in impacted downstream dbt models so you can merge your Pull Requests with confidence. PipeRider can profile your dbt models and obtain information such as basic data composition, quantiles, histograms, text length, top categories, and more. PipeRider can integrate with dbt metrics and present the time-series data of metrics in the report. PipeRider generates a static HTML report each time it runs, which can be viewed... -
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PyMancala
PyMancala: A Python API for the Mancala game
PyMancala implements rules of the Mancala game, also called Awale. It can be played in different modes: human-human, human-computer or computer-computer. Different variants of the rules are implemented. Several 'basic' strategies are proposed for the human to get an advice and for the computer. Many others can be added and compared to the already existing ones. -
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OpenAssistant
Chat-based assistant that understands tasks
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. In the same way that Stable Diffusion helped the world make art and images in new ways, we want to improve the world by providing amazing conversational AI. We are in the early stages of development, working from established research in applying RLHF to large language models. Open Assistant is a project organized by LAION and individuals around... -
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EvaDB
Database system for building simpler and faster AI-powered application
Over the last decade, AI models have radically changed the world of natural language processing and computer vision. They are accurate on various tasks ranging from question answering to object tracking in videos. To use an AI model, the user needs to program against multiple low-level libraries, like PyTorch, Hugging Face, Open AI, etc. This tedious process often leads to a complex AI app that glues together these libraries to accomplish the given task. This programming complexity prevents... -
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club
Software for small organisations like clubs.
Simplify management of bar, kitchen and memberships of small organisations, that don't need complicated management programs. Made in python, MongoDB is required. Source code: https://github.com/NrtypmForhp/club -
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NLG-Eval
Evaluation code for various unsupervised automated metrics
NLG-Eval is a toolkit for evaluating the quality of natural language generation (NLG) outputs using multiple automated metrics such as BLEU, METEOR, and ROUGE. -
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PEP 8 Speaks
A GitHub app to automatically review Python code style
A GitHub app to automatically review Python code style over Pull Requests. PEP 8 Speaks is a GitHub integration which detects Python code style issues on new Pull Requests. You can install it on your Python projects and configure with your own code style. Check out the project on GitHub. Maintainers of Python projects have a difficult time reviewing Pull Requests by new contributors who may not be aware of the code style. ... -
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README-AI
README file generator, powered by AI
README-AI is an automated documentation generator that creates structured README files for GitHub repositories using AI-powered analysis. -
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eCxx
A C++ library for AVR and NodeMCU
...The Makefile build system and some of the tools would only run on Linux. However, the library source code should be portable enough to be built using other build systems for AVR and NodeMC -
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Django Notifications
GitHub notifications alike app for Django
django-notifications is a GitHub notification alike app for Django, it was derived from django-activity-stream. Notifications are actually actions events, which are categorized by four main components. To generate a notification anywhere in your code, simply import the notify signal and send it with your actor, recipient, and verb. Generating notifications is probably best done in a separate signal. Using django-model-utils, we get the ability to add queryset methods to not only the manager,... -
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WebArena
Code repo for "WebArena to build Autonomous Agents
WebArena is a realistic web environment designed for building and testing autonomous agents, providing a platform for developing web-based AI agents. -
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ReplitLM
Inference code and configs for the ReplitLM model family
ReplitLM is a family of open-source language models developed by Replit for assisting with programming tasks such as code generation and completion. The project includes model checkpoints, configuration files, and example code that enable developers to run and experiment with the models locally or within machine learning frameworks. These models are designed specifically for coding workflows and are trained on large datasets of source code covering many programming languages and development... -
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Mehrauli
A surrealist narrative-driven walking simulator
Mehrauli is a surrealist narrative-driven walking simulator set on a deserted, fictitious island of the same name. The player has stumbled upon the island. On the way, the player finds a trail of cassette tapes lying around that tell the story of a previous inhabitant on the island. He was a man who spent his childhood in the Mehrauli neighbourhood of South West Delhi. The man had stolen some of the neglected monuments from Mehrauli and brought them to the island, with the intention to turn... -
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SageMaker Inference Toolkit
Serve machine learning models within a Docker container
Serve machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. Once you have a trained model, you can include it in a Docker container that runs your inference code. A container provides an effectively isolated environment, ensuring a consistent runtime regardless of where the... -
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Autolabel
Label, clean and enrich text datasets with LLMs
Autolabel is a Python library to label, clean and enrich datasets with Large Language Models (LLMs). Autolabel data for NLP tasks such as classification, question-answering and named entity recognition, entity matching and more. Seamlessly use commercial and open-source LLMs from providers such as OpenAI, Anthropic, HuggingFace, Google and more. -
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DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
DragGAN is a research-driven image editing system that enables precise manipulation of GAN-generated images through interactive point dragging. The project introduces a novel workflow where users move specific points in an image and the model intelligently deforms the content while preserving realism. Built on top of StyleGAN architectures, the tool operates directly on the learned generative manifold to maintain photorealistic consistency. It combines feature-based motion supervision with a...
