Search Results for "space invaders python" - Page 7

Showing 365 open source projects for "space invaders python"

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  • 1
    video-to-ascii

    video-to-ascii

    It is a simple python package to play videos in the terminal

    video-to-ascii is a Python-based command-line tool that converts and plays video files directly in the terminal using ASCII characters as visual representations. It processes each frame of a video, maps pixel brightness and color values to characters, and renders them in real time within terminal constraints. The tool adapts video resolution to match terminal dimensions, ensuring a coherent and readable output despite limited character space.
    Downloads: 0 This Week
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  • 2
    ALAE

    ALAE

    Adversarial Latent Autoencoders

    ALAE (Adversarial Latent Autoencoders) is a deep learning research implementation that combines autoencoders with generative adversarial networks to produce high-quality image synthesis models. The project implements the architecture introduced in the CVPR research paper on Adversarial Latent Autoencoders, which focuses on improving generative modeling by learning latent representations aligned with adversarial training objectives. Unlike traditional GANs that directly generate images from...
    Downloads: 0 This Week
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  • 3
    NuclearThroneStreamer

    NuclearThroneStreamer

    Live stats for Nuclear Throne

    NuclearThroneStreamer is a tiny multi-platform tool that is used to show current game stats while you play the Steam version of Nuclear Throne. This is useful for streamers who need to fill in the border space in the game. Click on Files above to download it and see the Readme.
    Downloads: 0 This Week
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  • 4
    Lenia

    Lenia

    Lenia - Mathematical Life Forms

    Lenia is a 2D cellular automaton with continuous space, time, and states. It produces a huge variety of interesting life forms. There are various versions available. Python, Matlab, and web (JavaScript) versions are real-time, interactive, and equipped with statistics tools. Jupyter and R versions are non-interactive and just for demonstration purposes.
    Downloads: 4 This Week
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  • 5
    OpenAI Glow

    OpenAI Glow

    Copy code in "Glow: Generative Flow with Invertible 1x1 Convolutions"

    Glow is an open source generative model released by OpenAI that demonstrates flow-based generative modeling techniques. Unlike models that rely on approximate inference, Glow uses invertible transformations to directly learn the data distribution, allowing for exact likelihood computation and efficient sampling. The model is capable of producing high-quality synthetic images while maintaining interpretable latent spaces that enable meaningful manipulation of generated outputs. Glow’s...
    Downloads: 0 This Week
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  • 6
    Tashkeela processed

    Tashkeela processed

    Tashkeela dataset cleaned and normalized.

    A version of the Tashkeela Arabic diacritized text dataset cleaned from the non-Arabic content and the undiacritized text, then divided into training, development, and testing sets. The cleaning process includes removing the XML tags and strange symbols, as well as fixing diacritics errors. After that, the tokenization is performed while focusing on the extraction of the Arabic words. The result is a space-separated tokens file, where the words and the numbers are separated, but not the...
    Downloads: 1 This Week
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  • 7
    levin

    levin

    in-memory key value server with fuzzy search capabilities

    Levin is an event-based key/value server based on radix-tree (space optimized trie). Key search can be performed with an approximate key matching algorithm based on Levenshtein edit distance.
    Downloads: 0 This Week
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  • 8
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model...
    Downloads: 0 This Week
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  • 9
    interactive-coding-challenges

    interactive-coding-challenges

    120+ interactive Python coding interview challenges

    Interactive Coding Challenges is a collection of practice problems designed to strengthen data structures, algorithms, and problem-solving skills. The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. Many challenges include hints and reference...
    Downloads: 0 This Week
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  • 10
    EasyArch

    EasyArch

    Arch Linux Installer ISO

    A simple yet full featured Archlinux installer ISO. Minimum system requirements- Processor - 2 core 64 bit Ram - 1 GB HDD space - 10 GB If you are looking for another linux distro, then you are at wrong place, this is not a new or separate distribution. It is just a live ISO to provide simple and easy way to get Archlinux up and running in very little time and with or without internet connection. Yes, you read it right, you can install Archlinux without internet with this ISO....
    Downloads: 5 This Week
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  • 11
    ENAS in PyTorch

    ENAS in PyTorch

    PyTorch implementation of "Efficient Neural Architecture Search

    ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and...
    Downloads: 0 This Week
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  • 12

    aVoid

    Do not hit the asteroids. Written with python3-pygame

    This is a little space game programmed with Python3-Pygame. Have fun :-) Go to pygame-Website: - https://www.pygame.org/project/3633/7177
    Downloads: 0 This Week
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  • 13
    Reliable Metrics for Generative Models

    Reliable Metrics for Generative Models

    Code base for the precision, recall, density, and coverage metrics

    Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those...
    Downloads: 0 This Week
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  • 14
    Zat 1.0

    Zat 1.0

    Fast N-SAT solver for Windows 10

    Zat is an Onagan project. It is a very fast sat solver for .cnf, .dimacs, ... Zat is an O(n^log(n)) time complexity algorithm, which is faster than O((1+e)^n) for e strictly positive. The space complexity is O(n). The version 1.0 is exclusively for Windows 10.
    Downloads: 0 This Week
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  • 15
    VoteNet

    VoteNet

    Deep Hough Voting for 3D Object Detection in Point Clouds

    VoteNet is a 3D object detection framework for point clouds that combines deep point set networks with a Hough voting mechanism to localize and classify objects in 3D space. It tackles the challenge that object centroids in 3D scenes often don’t lie on any input surface point by having each point “vote” for potential object centers; these votes are then clustered to propose object hypotheses. Once cluster centers are formed, the network regresses bounding boxes around them and classifies...
    Downloads: 0 This Week
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  • 16
    Vega Strike is a 3d OpenGL Action Space Sim for Win/Lin/Mac allowing players to trade, bounty hunt, or explore in a vast universe. Active development is now on https://github.com/vegastrike and on http://www.vega-strike.org Vega Strike is mod ready and network playable.
    Downloads: 33 This Week
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  • 17
    InfiFly 3D

    InfiFly 3D

    InfiFly a ML based 3D game.

    This is the 3D game. There is space ship and your aim is to control the ship using hand movement(left to right, & right to left) and prevent the ship from hitting the asteroids and. Every level has different environment for create optical illusion.
    Downloads: 0 This Week
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  • 18
    Spycrab Invaders v2

    Spycrab Invaders v2

    Team Fortress 2 and Diablo 2 meet classic arcade!

    ...Don't let them backstab you, try not to let them touch the bottom of the screen, and watch out for special attacks, aggressive behavior, and boss spawns. Attempt to defeat the three Prime Evils one brother at a time; or all at once during the Uber Event! Requires Python 3.7 and Pygame 1.9.6. Plays in 1400x800 window. These are FREE: Python Download: https://www.python.org/downloads/ Python/Pygame install YouTube tutorial: https://www.youtube.com/watch?v=AdUZArA-kZw Game Information file included. UPDATE 26 Sep: Spycrab Invaders 3 notes look good (https://sourceforge.net/p/spycrab-invaders/discussion/general/thread/b6c49ee11e/). ...
    Downloads: 0 This Week
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  • 19
    TI2BioP allows mainly the calculation of topological indices (spectral moments) derived from inferred and artificial 2D structures of DNA, RNA and proteins being possible to carry out a structure-function correlation irrespective of sequence alignments. TI2BioP version 3.0 is a python platform with a graphical interface designed for Windows, Linux and Mac OS.
    Downloads: 0 This Week
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  • 20
    MLBox

    MLBox

    MLBox is a powerful Automated Machine Learning python library

    MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation.
    Downloads: 0 This Week
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  • 21
    Run Bernie Run

    Run Bernie Run

    A Bernie-themed game developed for Windows

    Running for president is hard for everyone but even harder for Bernie Sanders. Bernie must dodge the corporate wing of the democratic party, the corrupt media, and the other contenders in order to become president all while keeping his campaign funds up. Each task by itself is simple but doing them both at the same time is nearly impossible. If Bernie gets hit too many times or loses all his campaign funds, then Bernie loses. Help guide Bernie to victory and get a score of 12,000 or more to...
    Downloads: 0 This Week
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  • 22

    People In Space

    This software show in real-time how many people are in space.

    This software show in real-time how many people are in space. Created with the api of http://open-notify.org/Open-Notify-API/People-In-Space/ For Windows : Download this file and run the .exe software. All the elements of the .zip archive must stay in the same directory. For other operating systems : https://github.com/hamdyaea/PeopleInSpace Developer - Author Hamdy Abou El Anein
    Downloads: 0 This Week
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  • 23
    AeroPython

    AeroPython

    Classical Aerodynamics of potential flow using Python

    The AeroPython series of lessons is the core of a university course (Aerodynamics-Hydrodynamics, MAE-6226) by Prof. Lorena A. Barba at the George Washington University. The first version ran in Spring 2014 and these Jupyter Notebooks were prepared for that class, with assistance from Barba-group PhD student Olivier Mesnard. In Spring 2015, we revised and extended the collection, adding student assignments to strengthen the learning experience. The course is also supported by an open learning...
    Downloads: 0 This Week
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  • 24
    MUSE

    MUSE

    A library for Multilingual Unsupervised or Supervised word Embeddings

    MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized...
    Downloads: 0 This Week
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  • 25
    Walle 2.0

    Walle 2.0

    Walle 2.0 web

    ...Support various web code releases, release and rollback of php, java, python, go and other codes can be completed with one click through the web. walle is a freely configurable project, more user-friendly, high-value, an open source online deployment system that supports git, multi-user, multi-language, multi-project, and multi-environment simultaneous deployment.
    Downloads: 0 This Week
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