Search Results for "machine" - Page 73
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Showing 4715 open source projects for "machine"
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1
WaveFunctionCollapse
Bitmap & tilemap generation from a single example
This program generates bitmaps that are locally similar to the input bitmap. WFC initializes output bitmap in a completely unobserved state, where each pixel value is in superposition of colors of the input bitmap (so if the input was black & white then the unobserved states are shown in different shades of grey). The coefficients in these superpositions are real numbers, not complex numbers, so it doesn't do the actual quantum mechanics, but it was inspired by QM. Then the program goes into... -
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LC-3 VM
Write your own virtual machine for the LC-3 computer!
...It has a simplified instruction set compared to x86, but contains all the main ideas used in modern CPUs. First, we need to simulate the essential hardware components of the machine. Try to understand what each component is, but don’t worry right now if you are unsure of how it fits into the larger picture. Start by creating a C file. A register is a slot for storing a single value on the CPU. Registers are like the “workbench” of the CPU. For the CPU to work with a piece of data, it has to be in one of the registers. -
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PySC2
StarCraft II learning environment
PySC2 is DeepMind's Python component of the StarCraft II Learning Environment (SC2LE). It exposes Blizzard Entertainment's StarCraft II Machine Learning API as a Python RL Environment. This is a collaboration between DeepMind and Blizzard to develop StarCraft II into a rich environment for RL research. PySC2 provides an interface for RL agents to interact with StarCraft 2, getting observations and sending actions. The easiest way to get PySC2 is to use pip. That will install the pysc2 package along with all the required dependencies. virtualenv can help manage your dependencies. ... -
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GestioneComande
Command management program
...During installation, if these programs are not present, they will be downloaded and installed automatically. The project was developed with the Code First db so that a db could be created on the local machine so that the program could be used without the need to connect to the internet. -
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5
Chainer
A flexible deep learning framework
Chainer is a Python-based deep learning framework. It provides automatic differentiation APIs based on dynamic computational graphs as well as high-level APIs for neural networks. -
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StudioGAN
StudioGAN is a Pytorch library providing implementations of networks
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. StudioGAN aims to offer an identical playground for modern GANs so that machine learning researchers can readily compare and analyze a new idea. Moreover, StudioGAN provides an unprecedented-scale benchmark for generative models. The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT, RQ-Transformer), and Diffusion models (LSGM++, CLD-SGM, ADM-G-U). StudioGAN is a self-contained library that provides 7 GAN architectures, 9 conditioning methods, 4 adversarial losses, 13 regularization modules, 6 augmentation modules, 8 evaluation metrics, and 5 evaluation backbones. ... -
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Termshark
A terminal UI for tshark, inspired by Wireshark
A terminal user-interface for tshark, inspired by Wireshark. If you're debugging on a remote machine with a large pcap and no desire to scp it back to your desktop, termshark can help! Read pcap files or sniff live interfaces (where tshark is permitted). Filter pcaps or live captures using Wireshark's display filters. Reassemble and inspect TCP and UDP flows. View network conversations by protocol. Copy ranges of packets to the clipboard from the terminal. -
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ISLR-python
An Introduction to Statistical Learning
ISLR-python is an educational repository that provides Python implementations and notebooks corresponding to examples and exercises from the book An Introduction to Statistical Learning. The project recreates tables, figures, and laboratory exercises originally presented in the book so that readers can explore the concepts using Python rather than the original R environment. The repository includes Jupyter notebooks demonstrating statistical learning methods such as linear regression,... -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Alphafold2
Unofficial Pytorch implementation / replication of Alphafold2
To eventually become an unofficial working Pytorch implementation of Alphafold2, the breathtaking attention network that solved CASP14. Will be gradually implemented as more details of the architecture is released. Once this is replicated, I intend to fold all available amino acid sequences out there in-silico and release it as an academic torrent, to further science. Deepmind has open sourced the official code in Jax, along with the weights! This repository will now be geared towards a... -
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Talking Head Anime from a Single Image
Demo for the "Talking Head Anime from a Single Image"
Talking Head Anime from a Single Image is a machine learning project that demonstrates how neural networks can animate anime characters using only a single input image. The system generates animated facial expressions and movements by applying pose transformations to a static image of an anime character. The underlying model uses deep learning techniques to predict how different facial features and body parts should move based on pose parameters or input signals. -
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Binary Analysis Platform
Binary Analysis Platform
The Carnegie Mellon University Binary Analysis Platform (CMU BAP) is a suite of utilities and libraries that enables analysis of programs in the machine code representation. BAP supports x86, x86-64, ARM, MIPS, PowerPC and new architectures can be added as plugins. BAP includes various analyses, standard interpreter, microexecution interpreter, and symbolic executor. BAP features its own domain-specific language, Primus Lisp, that is used for implementing analyses, specifying verification conditions, modeling functions (writing stubs) and even interfacing with the SMT solver. ... -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a... -
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Database Backup Manager
Database backup manager for dumping to and restoring databases from S3
...We recommend using the vagrant configuration supplied with this package for development and contribution. Simply install VirtualBox, Vagrant, and Ansible then run vagrant up in the root folder. A virtual machine specifically designed for the development of the package will be built and launched for you. Backup to / restore from any configured filesystem. Configure your filesystems. Configure your databases. -
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Pegasus5
New OOPs Language
This project is to create a fully working implementation of the Pegasus source language. Pegasus will be implemented in C and will compile to native machine code. It is hoped that the system will be an improvement on Java. The number of members implementing this project will be limited. Once the project is complete we hope to create applications in Pegasus and compile them to run on any platform that supports the C language. We could even write a Console Request Interface in Pegasus. -
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X11-Basic
A BASIC interpreter and compiler with graphics.
X11-Basic is a dialect of the BASIC programming language with graphics capability that integrates features like shell scripting, cgi-Programming and full graphical visualisation into the easy to learn basic language on modern computers. -
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PZEM PC interface (web app)
Peacefair PZEM PC application (web app)
You can check this app online here: https://koshka.ddns.net/pzemweb/v1.1/ (You will need Chrome browser or similar ) A web-app (web-interface) for Peacefair PZEM energy monitors. It is loaded from https web server but works completely on a local machine with local devices and local database. It uses Web Serial API to connect to PZEM devices and IndexedDB to store data. JqGrid and Apexcharts used to display stored data. This application (hopefully) supports simultaneous data exchange with multiple PZEM devices. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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Cylindrical Alignment App
Arranges alignments in a rotating cylinder
The Cylindrical Alignment App is the successor to Cylindrical BLAST Viewer. Similarly, it arranges search or other comparisons, against their "axis". Searches can be made by Basic Local Alignment Search Tool, ClustalW, or Gene Machine to name a few. This version does not require downloading or installing Java3D, and has more modern GUI features. -
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ModelFox
ModelFox makes it easy to train, deploy, and monitor ML models
ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. ... -
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Horusec
Open source tool that improves identification of vulnerabilities
Horusec is an open source tool that performs a static code analysis to identify security flaws during the development process. Currently, the languages for analysis are C#, Java, Kotlin, Python, Ruby, Golang, Terraform, Javascript, Typescript, Kubernetes, PHP, C, HTML, JSON, Dart, Elixir, Shell, Nginx. The tool has options to search for key leaks and security flaws in all your project's files, as well as in Git history. Horusec can be used by the developer through the CLI and by the... -
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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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pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Python 3 code to reproduce the figures in the books Probabilistic Machine Learning: An Introduction (aka "book 1") and Probabilistic Machine Learning: Advanced Topics (aka "book 2"). The code uses the standard Python libraries, such as numpy, scipy, matplotlib, sklearn, etc. Some of the code (especially in book 2) also uses JAX, and in some parts of book 1, we also use Tensorflow 2 and a little bit of Torch. -
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FibroSoft
Histology staining analysis and quantification tool.
A histology staining analysis and quantification tool based on machine learning. -
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Log4jScanner
A log4j vulnerability filesystem scanner and Go package
...Instead of probing networks, it walks directories and archives, including nested JARs, to find version fingerprints and risky classes associated with the Log4Shell family of issues. The focus on static analysis makes it suitable for container images, build artifacts, and offline systems where active scanning isn’t feasible. Clear, machine-readable output allows the tool to plug into CI/CD checks and fleet-wide inventory jobs. For responders, it reduces time-to-visibility by surfacing exactly which paths and bundles require patching or remediation. It’s a pragmatic addition to defense-in-depth programs that need verifiable evidence of exposure without deploying agents.
