Search Results for "python ai game" - Page 32
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1355 projects for "python ai game" with 1 filter applied:
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boardgame.io
State Management and Multiplayer Networking for Turn-Based Games
...It also offers tools to help with prototyping, debugging, logging, replaying game states, and even simple AI bots. Because of its simplicity and flexibility, boardgame.io is widely used for rapid prototyping of new game ideas or building full multiplayer board games. -
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Shennina
Automating Host Exploitation with AI
Shennina is an automated host exploitation framework. The mission of the project is to fully automate the scanning, vulnerability scanning/analysis, and exploitation using Artificial Intelligence. Shennina is integrated with Metasploit and Nmap for performing the attacks, as well as being integrated with an in-house Command-and-Control Server for exfiltrating data from compromised machines automatically. Shennina scans a set of input targets for available network services, uses its AI engine... -
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FrankMocap
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
FrankMocap is a monocular 3D human capture system that estimates body, hand, and optionally face pose from a single RGB image or video. It regresses parametric human models (e.g., SMPL/SMPL-X) directly, producing temporally stable meshes and joint angles suitable for animation or analytics. The pipeline couples a robust 2D keypoint detector with 3D mesh regression networks and priors that keep results anatomically plausible. It can run frame-by-frame or with temporal smoothing, and includes... -
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DialoGPT
Large-scale pretraining for dialogue
DialoGPT is an open-source conversational language model developed by Microsoft Research for generating natural dialogue responses using large-scale transformer architectures. The system is built on the GPT-2 architecture and is designed specifically for multi-turn conversation tasks, enabling machines to produce coherent responses during interactive dialogue. The model was trained on a massive dataset of approximately 147 million conversational exchanges extracted from Reddit discussion... -
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Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for... -
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paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence"
paip-lisp is the Common Lisp source code companion to Peter Norvig’s book Paradigms of Artificial Intelligence Programming. It contains implementations and examples from the book, covering classic AI techniques through Lisp programs. The repository includes systems for symbolic reasoning, search, rule-based inference, natural language processing, pattern matching, logic programming, and game-playing examples. It is valuable for readers who want to study the original code while working through the text or revisiting older AI ideas. ... -
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RoBERTa for Chinese
RoBERTa Chinese pre-training model: RoBERTa for Chinese
RoBERTa for Chinese is a Chinese RoBERTa pretrained model repository for language understanding tasks. It provides TensorFlow and PyTorch-compatible model releases trained on large-scale Chinese text. The project follows the main RoBERTa training ideas, including removing next sentence prediction, using more diverse data, training longer, increasing batch size, and tuning optimization settings. Its training data includes news, community discussion, encyclopedia content, and other broad... -
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MuZero General
A commented and documented implementation of MuZero
muzero-general is an open-source implementation of the MuZero reinforcement learning algorithm introduced by DeepMind. MuZero is a model-based reinforcement learning method that combines neural networks with Monte Carlo Tree Search to learn decision-making policies without requiring explicit knowledge of the environment’s dynamics. The repository provides a well-documented and commented implementation designed primarily for educational purposes. It allows researchers and developers to train... -
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Mask2Former
Code release for "Masked-attention Mask Transformer
Mask2Former is a unified segmentation architecture that handles semantic, instance, and panoptic segmentation with one model and one training recipe. Its core idea is to cast segmentation as mask classification: a transformer decoder predicts a set of mask queries, each with an associated class score, eliminating the need for task-specific heads. A pixel decoder fuses multi-scale features and feeds masked attention in the transformer so each query focuses computation on its current spatial... -
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Yet Another Python Sudoku puzzle game
A Sudoku puzzle game
A Sudoku puzzle game written in python, also using wxPython and pyGame. -
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JSettlers2 - Java Settlers of Catan
Java Settlers
JSettlers2 is a web-based version of the board game Settlers of Catan written in Java. This client-server system supports multiple simultaneous games between people and/or AI bots. Originally written by Robert S Thomas as an AI dissertation (http://sourceforge.net/projects/jsettlers). The active source code is hosted at https://github.com/jdmonin/JSettlers2 including full history; the sourceforge CVS is historical up to 2012-09-28. -
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MAE (Masked Autoencoders)
PyTorch implementation of MAE
MAE (Masked Autoencoders) is a self-supervised learning framework for visual representation learning using masked image modeling. It trains a Vision Transformer (ViT) by randomly masking a high percentage of image patches (typically 75%) and reconstructing the missing content from the remaining visible patches. This forces the model to learn semantic structure and global context without supervision. The encoder processes only the visible patches, while a lightweight decoder reconstructs the... -
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AI Platform Training and Prediction
Cloud ML Engine repo
AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. The repository covers the full machine learning lifecycle, including data preprocessing, model... -
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GiantMIDI-Piano
Classical piano MIDI dataset
GiantMIDI-Piano is a large-scale symbolic classical piano music dataset built by applying the piano_transcription system on a vast collection of piano performance recordings. The dataset contains thousands of piano works, spanning a large number of composers and styles, with each piece transcribed into high-precision MIDI files capturing note events, pedal usage, velocities, etc. It provides a resource for music information retrieval (MIR), symbolic music modeling, composer classification,... -
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DeepDanbooru
AI based multi-label girl image classification system
DeepDanbooru is a deep learning system designed to automatically tag anime-style images using neural networks trained on datasets derived from the Danbooru imageboard. The project focuses on multi-label image classification, where a model predicts multiple descriptive tags that represent visual elements in an image. These tags may include characters, styles, clothing, emotions, or other attributes associated with anime artwork. The system uses convolutional neural networks trained on large... -
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A multi-player networked clone of the classical Bubble Bobble board game. Throw bubbles at monsters and collect dozens of different bonuses before your co-players! A modernized version running the clients in browsers is available at https://bitbucket.org/arigo/bub-n-bros/
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Snakes of Apocalypse
Snakes of Apocalypse is a funny multiplayer game
...There are two language versions: English (default) and Polish (if polish locale is detected). Joypads are supported and automatically detected (PS2, PS4, Xbox360, possibly others), only one player can use keyboard, rest must use joypads. Game was tested only on win32, but nevertheless it should run also on Linux and Mac just fine (any platform that has Python and Pygame). -
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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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YOLOv4
PyTorch implementation of YOLOv4
PyTorch_YOLOv4 is a PyTorch implementation of YOLOv4 based on the earlier ultralytics YOLOv3 codebase. It provides a practical way to train, test, and run YOLOv4-style object detection models without relying only on the original Darknet implementation. The repository supports common detection workflows such as dataset preparation, model training, evaluation, inference, and weight conversion. It is useful for developers who prefer the PyTorch ecosystem for experimentation, debugging, and... -
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Beasties
Defeat all the beasties to claim victory!
Beasties is an OS-independent game written in Java (as of ver2.0.0, prior versions written in Python). The object is to defeat a number of monsters without dying. You have a knife, a gun, extra ammo, and a few medical supplies to help you -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities,... -
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PyTorchVideo
A deep learning library for video understanding research
PyTorchVideo is a deep learning library for video understanding, providing modular components and pretrained models for tasks like action recognition, video classification, detection, and self-supervised learning. It is tightly integrated with PyTorch and PyTorch Lightning, offering flexible APIs for building and training spatiotemporal networks. The library includes efficient implementations of state-of-the-art architectures such as SlowFast, X3D, and MViT, optimized for both research... -
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Haxima is an Ultima-like game engine (2D tile graphics) with combat, magic, NPC AI, an embedded scripting language, and in-game editing.
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game-programming-patterns
Source repo for the book
...Topics include game loops, component architectures, event queues, object pools, spatial partitioning, data locality, and other performance-oriented designs. A Python formatting script transforms the book sources and templates into the published web edition. Watch mode can automatically rebuild pages as source files change. Although active development has largely stopped since the book was completed, the repository remains a valuable educational reference and source archive. -
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TimeSformer
The official pytorch implementation of our paper
TimeSformer is a vision transformer architecture for video that extends the standard attention mechanism into spatiotemporal attention. The model alternates attention along spatial and temporal dimensions (or designs variants like divided attention) so that it can capture both appearance and motion cues in video. Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch...
