Search Results for "machine" - Page 67
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Showing 4715 open source projects for "machine"
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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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XLabel
XLabel: An Explainable Data Labeling Assistant
XLabel is an open-source Streamlit app that takes an explainable machine-learning approach to visual-interactive data labeling. Predict the most probable labels using Explainable Boosting Machine (EBM). Show the contributions of each feature towards the predicted labels. Provide an option to write the labels directly into the data file (use XLabel.py) or save them in a separate file (use XLabelDL.py) Support data with multiple labels and multiple classes. -
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Guia do Desenvolvedor Back-end
Everything you need to become a back-end developer
...The guide covers Linux, Git, GitHub, HTTP, APIs, programming languages, databases, cloud platforms, Docker, architecture patterns, and related technical areas. It also includes resources for data science, machine learning, artificial intelligence, and scientific Python tools. The repository is organized as a study companion, not as an executable software package. Overall, it is a practical back-end learning reference for planning study paths, exploring technologies, and finding useful external resources. -
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T81 558
Applications of Deep Neural Networks
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network... -
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...As a bonus, Classroom Insights is designed to allow for archiving statistics per sequence into a database file that can be shared with other colleagues for a more comprehensive perspective on performance. Furthermore, this software leverages the power of machine learning to predict students' performances on exams.
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homeshick
git dotfiles synchronizer written in bash
...By the power of git, homeshick enables you to bring the symphony of settings you have poured your heart into with you to remote computers. With it you can begin to focus even more energy on bettering your work environment since the benefits are reaped on whichever machine you are using. However bare bones these machines are, provided that at least Bash 3 and Git 1.5 are available you can use homeshick. homeshick can handle multiple dotfile repositories. This means that you can install larger frameworks like oh-my-zsh or a multitude of emacs or vim plugins alongside your own customizations without clutter. -
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DenOS
Create your own Debian Live Linux with 5 scripts in 10 Minutes.
Create your Own Debian 64 Bit Live Linux with your choice of Manager in 10 Minutes using the Debootstrap Method. wget https://github.com/dinooz/denos/raw/master/denos_get_started.sh Only need to Execute 5 Scripts in a Xubuntu Virtual Machine and get your own Live Linux Distro created. GITHUB: https://github.com/dinooz/denos Have u ever like to have your own Linux Distribution ? Have you ever like to have a lean distro with only specific packages ? Have you ever wanted a Linux distro with the assurance of what is installed ? TODO: Setup an Hard Drive/USB Installation wizard. to make it really easy. ... -
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LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm
LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback, including efficient implementation of BPR and WARP ranking losses. It's easy to use, fast (via multithreaded model estimation), and produces high-quality results. It also makes it possible to incorporate both item and user metadata into the traditional matrix factorization algorithms. It represents each user and item as the sum of the latent representations of their... -
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IIDC Camera Control Library
Capture and control API for IIDC compliant cameras
...Besides capture and control, libdc1394 provides a full set of colour space conversion functions (including RAW decoding), vendor specific functions and direct camera register access. Keywords: ieee1394, IIDC, DCAM, firewire, USB, machine vision, computer vision, video capture, library -
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Simple LLM Finetuner
Simple UI for LLM Model Finetuning
...It allows users to customize pre-trained models using relatively small datasets and modest hardware, making it feasible to experiment with LLM training even on consumer-grade GPUs or cloud environments like Google Colab. The tool includes a web-based interface where users can input datasets, configure training parameters, and run fine-tuning jobs without deep knowledge of machine learning pipelines. It leverages libraries such as Hugging Face PEFT to enable efficient adaptation of models by modifying only a subset of parameters, significantly reducing computational requirements. In addition to training, the platform provides inference capabilities so users can immediately test and evaluate their fine-tuned models within the same environment. -
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Lumixon
This AI can answer any information based questions from the user.
1. This AI is not yet prepared for human interactions or chatting. 2. The AI produces the complete information regarding the user's question and if you wish to search for another new question, you need to close and run the application again. This feature will be changed in the next release 3. Download and extract the files to your desired location and run the exe file in order to run the application. 4. The AI prints the website(s) links if it is unable to get an answer for the... -
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Learn Prompting
This website is a free, open-source guide on prompt engineering
...The competition featured 10 increasingly difficult levels of prompt hacking defenses and the chance to win over $35,000 in prizes. Coding is a great skill to learn alongside prompt engineering. We recommend learning Python, as it is a popular language for AI and machine learning. Be among the first to access the certification program as soon as it launches. -
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RARS
RISC-V Assembler and Runtime Simulator
RARS, the RISC-V Assembler, Simulator, and Runtime, will assemble and simulate the execution of RISC-V assembly language programs. Its primary goal is to be an effective development environment for people getting started with RISC-V. -
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Keras Attention Mechanism
Attention mechanism Implementation for Keras
Many-to-one attention mechanism for Keras. We demonstrate that using attention yields a higher accuracy on the IMDB dataset. We consider two LSTM networks: one with this attention layer and the other one with a fully connected layer. Both have the same number of parameters for a fair comparison (250K). The attention is expected to be the highest after the delimiters. An overview of the training is shown below, where the top represents the attention map and the bottom the ground truth. As the... -
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NAM-Runner
Batch file to install and run NAM (neural-amp-modeler) easily.
A Windows 10 batch file, that installs and runs the NAM model trainer (neural-amp-modeler) by Steven Atkinson right into the GUI application. Fully automated. Custom one-time installation of everything you need to train neural network models of guitar amps and more for the NAM VST plugin, no Conda required. Runs as a launcher afterwards. Portable installation. New pyTorch inclues CUDA runtime for fast Nvidia GPU support. No command line, python or conda knowledge needed! Just double click. -
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Orchest
Build data pipelines, the easy way
...Each step runs a file in a container. It's that simple! Spin up services whose lifetime spans across the entire pipeline run. Easily define your dependencies to run on any machine. Run any subset of the pipeline directly or periodically. -
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OptiMate
Libraries for optimizing AI models, inference speed, and GPU usage
Optimate is an open source collection of libraries designed to optimize the performance and cost efficiency of artificial intelligence models across different stages of the machine learning lifecycle. It groups several internal optimization tools developed by Nebuly AI into a single repository that focuses on improving inference speed, reducing infrastructure usage, and streamlining model training workflows. Its modules help developers automatically apply optimization techniques that better align AI models with the capabilities of the underlying hardware such as GPUs and CPUs. ... -
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Knet
Koç University deep learning framework
...If you find a bug, please open a GitHub issue. If you don't have access to a GPU machine, but would like to experiment with one, Amazon Web Services is a possible solution. I have prepared a machine image (AMI) with everything you need to run Knet. Here are step-by-step instructions for launching a GPU instance with a Knet image (the screens may have changed slightly since this writing). -
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Diem
Blockchain project originally backed by Meta
Diem is the now-discontinued blockchain project originally backed by Meta (formerly Libra), built in Rust using the Move smart contract language. Designed for secure, programmable payments and asset management, its open‑source code was released under Apache 2.0. Although the network was never launched, the project remains an important foundation for Move-based ecosystems. -
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MisakaTranslator
Galgame's Multilingual Real-time Machine Translation Tool
MisakaProject is a collection of all projects developed based on MisakaTranslator or its auxiliary functions. If you are interested in adding your own projects of related types to MisakaProject, please contact the author. MisakaPatcher added support for plug-in Chinese patch, so this tool is more suitable for players who like manual translation, and also provides another way for Chinese personnel who have difficulty unpacking packets to release Chinese patch. MisakaHookFinder is suitable for... -
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Dalai
The simplest way to run LLaMA on your local machine
Run LLaMA and Alpaca on your computer. Dalai runs on all of the following operating systems, Linux, Mac, and Windows. Runs on most modern computers. Unless your computer is very very old, it should work. -
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ACHE Focused Crawler
ACHE is a web crawler for domain-specific search
...ACHE differs from generic crawlers in sense that it uses page classifiers to distinguish between relevant and irrelevant pages in a given domain. A page classifier can be defined as a simple regular expression (e.g., that matches every page that contains a specific word) or a machine-learning-based classification model. ACHE also automatically learns how to prioritize links in order to efficiently locate relevant content while avoiding the retrieval of irrelevant pages. While ACHE was originally designed to perform focused crawls, it also supports other crawling tasks, including crawling all pages in a given web site and crawling Dark Web sites (using the TOR protocol). -
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ML Course Notes
Collaborative machine learning lecture notes from top AI courses
...Some sections include summaries of lectures from widely known machine learning and deep learning courses, while other sections are still marked as work in progress as contributors continue expanding the content. It aims to make complex AI and machine learning topics more accessible by providing concise written explanations and structured notes. -
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Sockeye
Sequence-to-sequence framework, focused on Neural Machine Translation
Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. It implements distributed training and optimized inference for state-of-the-art models, powering Amazon Translate and other MT applications. For a quickstart guide to training a standard NMT model on any size of data, see the WMT 2014 English-German tutorial. If you are interested in collaborating or have any questions, please submit a pull request or issue. -
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scanless
Online port scan scraper
scanless is a Python command-line utility and library for running port scans through third-party online scanning services. It is built for users who want quick visibility into exposed ports without running a local scanner directly from their own machine. The tool can scan an IP address or domain, choose a specific supported scanner, select a random scanner, or run all available scanners. It supports services such as ipfingerprints, spiderip, standingtech, viewdns, and yougetsignal. scanless can return raw scan output as well as parsed results that include port, state, service, and protocol details. ... -
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JWP
Java Web Printer
Java Web Printer interface 0.1 JWP 0.1 is the Java Web Printer interface that lets you print your documents from anywhere, anytime, to any installed printer. No need to install any printer drivers on the client machine, just use a web browser and upload your PDF file. You can print any PDF file with just a few clicks, using one of the available print methods: PDFbox, CUPS, or Filesystem. JWP 0.1 is compatible with Windows and other OS, and requires only a Jakarta EE capable Web Application Server and root rights. JWP 0.1 is the initial very basic release, but it works! ...
