Search Results for "space invaders python"
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Showing 501 open source projects for "space invaders python"
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SPACE 92
Space Invaders game like / Fork of Ben Raz Space Invaders
Space Invaders game like / Fork of Ben Raz Space Invaders with additional playback music. https://github.com/ben9923 * DISCLAIMER OF ALL WARRANTIES * Need DosBox Staging and SPACE92Mac directories in Applications Path. Download DosBox Staging from https://dosbox-staging.github.io/downloads/macos/ Clic on SPACE92 for launch the game. -
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SpaceMax Shoot them up
first person shooter, space invader
Space max is a type of space invaders written in python and Pygame For more information, you can join me with this address : space.max@free.fr -
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Memu
8080/6800/6502/Z80/8086 emulator, arcade emulator, CP/M emulator
Memu is a multiple machine emulator. Some CPUs are emulated: 8080, 6800, Z80, 8086. Some arcade machines which based on 8080 CPU are emulated. CP/M 1.3, 1.4, 2.0 runnable. Altair BASIC 3.0 runnable. PC emulation is under construction. -
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Clash
Haskell to VHDL/Verilog/SystemVerilog compiler
Clash is a functional hardware description language that borrows both its syntax and semantics from the functional programming language Haskell. It provides a familiar structural design approach to both combinational and synchronous sequential circuits. The Clash compiler transforms these high-level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog. Clash is an open-source project, licensed under the permissive BSD2 license, and actively maintained by QBayLogic. The... -
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VoxCPM
TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
VoxCPM is a tokenizer-free text-to-speech system that models speech in a continuous space, aiming for extremely realistic, context-aware synthesis and true-to-life zero-shot voice cloning. Instead of converting speech into discrete tokens, it uses an end-to-end diffusion-autoregressive architecture built on the MiniCPM-4 backbone, combining hierarchical language modeling, finite scalar quantization (FSQ), and local Diffusion Transformers. This design helps decouple semantic and acoustic... -
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Back In Time
An easy-to-use backup tool for GNU Linux using rsync in the back
Back In Time is an easy-to-use tool to backup files and folders. It runs on GNU Linux (not on Windows or OS X/macOS) and provides a command line tool backintime and a GUI backintime-qt both written in Python3. It uses rsync to take manual or scheduled snapshots and stores them locally or remotely through SSH. Each snapshot is in its own folder with copies of the original files, but unchanged files are hard-linked between snapshots to save storage space. It was inspired by FlyBack. -
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Yogstation is an open source fork of Space Station 13 developed and maintained by the Yogstation community. It offers a balanced mix of roleplay and gameplay, aiming to create an engaging multiplayer experience with unique mechanics and server rules. The repository contains the full SS13 codebase with modifications, including custom jobs, items, maps, and quality-of-life improvements. Yogstation prioritizes accessibility for new players while maintaining depth for veterans, making it one of...
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MicroPython
Python implementation for microcontrollers and constrained systems
...MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system. -
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CLIP
CLIP, Predict the most relevant text snippet given an image
CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. Once trained, you can give it any text labels and ask it to pick which label best matches a given... -
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ImageBind
ImageBind One Embedding Space to Bind Them All
ImageBind is a multimodal embedding framework that learns a shared representation space across six modalities—images, text, audio, depth, thermal, and IMU (inertial motion) data—without requiring explicit pairwise training for every modality combination. Instead of aligning each pair independently, ImageBind uses image data as the central binding modality, aligning all other modalities to it so they can interoperate zero-shot. This creates a unified embedding space where representations from... -
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Shiptest
The Shiptest Codebase
Shiptest is an open source fork of Space Station 13 that replaces the traditional single-station gameplay with multiple player-controlled ships. Instead of being confined to one station, players can design, operate, and explore with their own ships in a shared space environment. The repository contains full source code, assets, and maps to host or develop servers. Shiptest introduces new mechanics around ship construction, navigation, and resource management, creating a sandbox that... -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
VJEPA2 is a next-generation self-supervised learning framework for video that extends the “predict in representation space” idea from i-JEPA to the temporal domain. Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The... -
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Coconut
Training Large Language Model to Reason in a Continuous Latent Space
Coconut is the official PyTorch implementation of the research paper “Training Large Language Models to Reason in a Continuous Latent Space.” The framework introduces a novel method for enhancing large language models (LLMs) with continuous latent reasoning steps, enabling them to generate and refine reasoning chains within a learned latent space rather than relying solely on discrete symbolic reasoning. It supports training across multiple reasoning paradigms—including standard... -
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OpenRazer
Open source driver and user-space daemon to control Razer lighting
A collection of Linux drivers for Razer devices - providing kernel drivers, DBus services and Python bindings to interact with the DBus interface. -
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word_cloud
A little word cloud generator in Python
A little word cloud generator in Python. The code is tested against Python 2.7, 3.4, 3.5, 3.6 and 3.7. If you are using conda, you can install from the conda-forge channel. wordcloud depends on numpy and pillow. To save the wordcloud into a file, matplotlib can also be installed. If there are no wheels available for your version of python, installing the package requires having a C compiler set up. Before installing a compiler, report an issue describing the version of python and operating... -
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pytablewriter
pytablewriter is a Python library to write a table in various formats
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML. -
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stable-diffusion-videos
Create videos with Stable Diffusion
Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts. Try it yourself in Colab. -
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gensim
Topic Modelling for Humans
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community. -
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Physical Symbolic Optimization (Φ-SO)
Physical Symbolic Optimization
Physical Symbolic Optimization (Φ-SO) - A symbolic optimization package built for physics. Symbolic regression module uses deep reinforcement learning to infer analytical physical laws that fit data points, searching in the space of functional forms. -
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Video-subtitle-remover (VSR)
AI tool that removes hardcoded subtitles and text from videos locally
Video Subtitle Remover is an AI-based application designed to remove hardcoded subtitles from videos and generate new files without the embedded text. Video Subtitle Remover analyzes video frames and detects subtitle regions, then replaces the removed areas using an AI algorithm that fills the space with reconstructed visual content. This process aims to maintain the original resolution and visual continuity of the video after subtitle removal. It allows users to define a specific subtitle... -
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TerraGov Marine Corps
TGMC: TerraGov Marine Corps, a SS13 mod
TerraGov Marine Corps (TGMC) is an open source multiplayer game built on the BYOND engine, forked from the Space Station 13 (SS13) codebase. It is a tactical, role-playing game that pits groups of human marines against alien forces in large-scale, cooperative and competitive scenarios. The project focuses heavily on teamwork, coordination, and immersive gameplay, providing players with different roles such as engineers, medics, or combat marines to ensure strategic variety. TGMC offers a... -
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Step-Video-T2V
State-of-the-art (SoTA) text-to-video pre-trained model
Step-Video-T2V is a state-of-the-art text-to-video foundation model developed to generate videos from natural-language prompts; its 30B-parameter architecture is designed to produce coherent, temporally extended video sequences — up to around 204 frames — based on input text. Under the hood it uses a compressed latent representation (a Video-VAE) to reduce spatial and temporal redundancy, and a denoising diffusion (or similar) process over that latent space to generate smooth, plausible... -
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KerasTuner
A Hyperparameter Tuning Library for Keras
KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily configure your search space with a define-by-run syntax, then leverage one of the available search algorithms to find the best hyperparameter values for your models. KerasTuner comes with Bayesian Optimization, Hyperband, and Random Search algorithms built-in, and is also designed to be easy for researchers to extend in order to experiment with new search... -
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UForm
Multi-Modal Neural Networks for Semantic Search, based on Mid-Fusion
UForm is a Multi-Modal Modal Inference package, designed to encode Multi-Lingual Texts, Images, and, soon, Audio, Video, and Documents, into a shared vector space! It comes with a set of homonymous pre-trained networks available on HuggingFace portal and extends the transfromers package to support Mid-fusion Models. Late-fusion models encode each modality independently, but into one shared vector space. Due to independent encoding late-fusion models are good at capturing coarse-grained... -
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vim-plug
Minimalist Vim Plugin Manager
...It's got a concise, intuitive syntax and a single file, no need for boilerplate code. vim-plug is able to do a number of things. Firstly, it can perform parallel installation/update (with any of +job, +python, +python3, +ruby, or Neovim) extremely fast. It can create shallow clones to consume the least amount of disk space and download time. It can review and rollback updates, and is capable of on-demand loading to ensure the fastest startup time. All these and more from one simple plugin manager.
