Search Results for "machine" - Page 68
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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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WFEF .NET Bindings
.NET bindings for the WFEF project.
Home Browse Open Source WFIO .NET Bindings WFIO .NET Bindings .NET bindings for WFIO Status: Pre-Alpha Brought to you by: thylordroot Add a Review Downloads: 0 This Week Last Update: 2023-01-25 Browse Code Get Updates Share This Windows Mac Linux BSD ChromeOS Summary Reviews Support Code This subproject contains a parallel implementation effort for the .NET Virtual Machine. It allows for you to use the WFEF interface in your .NET applications and will include a translation layer so that you can talk to the native WFEF libraries. This subproject exists partially to overcome the 8.3 file naming convention that WFEF itself is limited to. -
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Unitag is a language-independent Unicode-based part-of-speech tagging system. Written entirely in ANSI-compatible C, it should (in theory) compile on any OS, but has been tested on 32-bit Windows.
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auto-sklearn
Automated machine learning with scikit-learn
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system. auto-sklearn 2.0 works the same way as regular auto-sklearn. auto-sklearn is licensed the same way as scikit-learn, namely the 3-clause BSD license. -
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LifeAI is an artificial intelligence system that can be applied to robotics, games, or business. It simulates key processes of our minds, such as organizing data into concepts and categories, planning actions based on their predicted outcome, and communication. LifeAI was designed to be simple, but powerful and flexible enough to have many applications.
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FFCV
Fast Forward Computer Vision (and other ML workloads!)
ffcv is a drop-in data loading system that dramatically increases data throughput in model training. From gridding to benchmarking to fast research iteration, there are many reasons to want faster model training. Below we present premade codebases for training on ImageNet and CIFAR, including both (a) extensible codebases and (b) numerous premade training configurations. -
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ML Visuals
ML Visuals contains figures and templates which you can reuse
ML Visuals is an open-source project that provides a collection of reusable diagrams, templates, and visual resources designed to improve communication in machine learning research and education. The repository contains professional-quality figures that illustrate machine learning concepts such as neural networks, optimization methods, model architectures, and common deep learning techniques. These visuals are intended to help researchers, educators, and students create clearer presentations, blog posts, and scientific papers. ... -
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NCP
Effortlessly transfer files and folders, to and from your NFS server.
NCP (NFS Copy) NCP offers a user-friendly solution for efficiently transferring files and folders between your local machine and the NFS server. It enables seamless recursive upload and download operations, supporting both NFS v3 and NFS V4 protocols. -
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BERTScore
BERT score for text generation
Automatic Evaluation Metric described in the paper BERTScore: Evaluating Text Generation with BERT (ICLR 2020). We now support about 130 models (see this spreadsheet for their correlations with human evaluation). Currently, the best model is Microsoft/debate-large-online, please consider using it instead of the default roberta-large in order to have the best correlation with human evaluation. -
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CSAPP-Labs
Solutions and Notes for Labs of Computer Systems
CSAPP-Labs is a repository that organizes and provides practical lab exercises corresponding to the famous textbook Computer Systems: A Programmer’s Perspective (CS:APP), helping students deepen their understanding of how computer systems work at the machine level. The exercises cover core topics such as data representation, assembly language, processor architecture, cache behavior, memory hierarchy, linking, and concurrency, contextualizing abstract concepts from the book in real code and experiments. Each lab is structured to include test programs, Makefiles, harnesses, and step-by-step instructions that guide students through hands-on interaction with low-level programming and system behavior. ... -
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DeepFaceLive
Real-time face swap for PC streaming or video calls
You can swap your face from a webcam or the face in the video using trained face models. There is also a Face Animator module in DeepFaceLive app. You can control a static face picture using video or your own face from the camera. The quality is not the best, and requires fine face matching and tuning parameters for every face pair, but enough for funny videos and memes or real-time streaming at 25 fps using 35 TFLOPS GPU. -
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ManimML
ManimML is a project focused on providing animations
ManimML is a project focused on providing animations and visualizations of common machine-learning concepts with the Manim Community Library. Please check out our paper. We want this project to be a compilation of primitive visualizations that can be easily combined to create videos about complex machine-learning concepts. Additionally, we want to provide a set of abstractions that allow users to focus on explanations instead of software engineering. -
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Merlion
A Machine Learning Framework for Time Series Intelligence
Merlion is a Python library for time series intelligence. It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance. It supports various time series learning tasks, including forecasting, anomaly detection, and change point detection for both univariate and multivariate time series. This library aims to provide engineers and researchers a one-stop solution to rapidly develop models for their specific time series needs, and benchmark them across multiple time series datasets. -
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QTads
A cross-platform, multimedia interpreter for TADS adventure games.
...Both TADS versions in use today (v2 and v3) are supported. It runs on Linux, macOS and Microsoft Windows. TADS stands for "Text Adventure Development System" and comes with its own programming language and virtual machine (the TADS VM.) QTads uses the reference implementations of the T2 and T3 VMs written by Michael J. Roberts. -
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WG UI
WireGuard Web UI for self-serve client configurations
...Keep in mind that this runs in userspace and not in kernel module. Unless you use the userspace version with docker you're required to have WireGuard installed on your host machine. You can configure wg-ui using commandline flags or environment variables. -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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SecretManager
FR : Outil de partage des mots de passe, EN : Sharing tool passwords
* SecretManager V2 started. *New design and new features ************************************ This tool allows you to store (AES 256) and share passwords. Passwords are placed in groups. Groups are associated with user profiles. Finally, we associate user porfiles with users. So users have access to passwords for which they are authorized. In addition, it is possible to supervise the access to secrets (alarm and all access). -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
...In July 2023, work on the second edition was announced, which expands the project with updated content, new problems inspired by recent big-tech interviews, and introductions to modern machine learning techniques such as XGBoost, CNNs, RNNs, and LSTMs. This collection serves both as a historical record of algorithm problem-solving and as a living resource for programmers preparing for interviews. -
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Cerebro
Open-source productivity booster with a brain
Cerebro is an open source electron-based productivity software that lets you search and see everything you need on your PC in one place. With just a few clicks you can search on your machine or on the internet everything you need; see everything you need without having to open another application; and easily find and use what you want. -
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bctl
1-wire based boiler/DHW/distribution heating system controller
...The software package is written in C++ and utilizes the owcapi and owlib facilities of the open-source owfs package for all 1-wire transactions. The software architecture is based on the QP hierarchical state machine framework developed by Quantum Leaps, and utilizes their QM modeling tool for state machine template generation. QP is an open-source package and QM is distributed free of charge. -
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ScikitLearn.jl
Julia implementation of the scikit-learn API
The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework. -
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Translate Shell
Command-line translator using Google Translate, Bing Translator, etc.
Translate Shell (formerly Google Translate CLI) is a command-line translator powered by Google Translate (default), Bing Translator, Yandex.Translate, and Apertium. It gives you easy access to one of these translation engines in your terminal. By default, translations with detailed explanations are shown. You can also translate the text briefly (only the most relevant translation will be shown). Translate Shell can also be used like an interactive shell; input the text to be translated line... -
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Lumen PHP Framework
The Laravel Lumen Framework.
Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching. -
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CodeContests
Large dataset of coding contests designed for AI and ML model training
...Each problem includes structured metadata, problem descriptions, paired input/output test cases, and multiple correct and incorrect solutions in various programming languages. The dataset is distributed in Riegeli format using Protocol Buffers, with separate training, validation, and test splits for reproducible machine learning experiments.
