Search Results for "machine" - Page 79
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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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PascalSCADA is a set of components (framework) for Delphi/Lazarus to make easy the development of industrial applications (HMI=Human Machine Interface/SCADA=System Control And Data Acquisition). It runs on Windows, Linux and FreeBSD.
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TensorRT Pro
C++ library based on tensorrt integration
High-level interface for C++/Python. Simplify the implementation of the custom plugin. And serialization and deserialization have been encapsulated for easier usage. Simplify the compilation of fp32, fp16 and int8 for facilitating the deployment with C++/Python in server or embedded device. Models ready for use also with examples are RetinaFace, Scrfd, YoloV5, YoloX, Arcface, AlphaPose, CenterNet and DeepSORT(C++). -
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Mole
CLI application to create ssh tunnels focused on resiliency
Mole is a command-line application for creating SSH tunnels with an emphasis on resilience and user experience. It is designed to help users access or expose services that are behind firewalls, private networks, or otherwise unreachable from the current machine. Mole uses SSH access to a jump server as the bridge between the user and the target service. It simplifies common tunneling workflows that would otherwise require remembering long SSH commands and port-forwarding flags. The project is useful for developers, operators, and administrators who frequently connect to internal databases, dashboards, or web services through secure tunnels. ... -
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SparrowRecSys
A Deep Learning Recommender System
SparrowRecSys is an open-source deep learning recommendation system framework designed to demonstrate the architecture and implementation of modern industrial-scale recommender systems. The project integrates multiple machine learning models and data processing pipelines to simulate how real-world recommendation platforms operate. It includes components for offline data processing, feature engineering, model training, real-time data updates, and online recommendation services. SparrowRecSys supports a wide range of state-of-the-art recommendation algorithms, including models for click-through rate prediction and user behavior modeling that are widely used in advertising and content recommendation systems. ... -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. -
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A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.
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Sklearn TensorFlow
Sklearn and TensorFlow: A Practical Guide to Machine Learning
...It focuses on teaching core machine learning concepts using Python while demonstrating practical workflows with popular libraries like Scikit-Learn and TensorFlow. The material covers topics ranging from basic machine learning theory to deep learning techniques and model evaluation, enabling learners to build and experiment with models step by step. -
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fairseq-lua
Facebook AI Research Sequence-to-Sequence Toolkit
fairseq-lua is the original Lua/Torch7 version of Facebook AI Research’s sequence modeling toolkit, designed for neural machine translation (NMT) and sequence generation. It introduced early attention-based architectures and training pipelines that later evolved into the modern PyTorch-based fairseq. The framework implements sequence-to-sequence models with attention, beam search decoding, and distributed training, providing a research platform for exploring translation, summarization, and language modeling. ... -
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BlazingSQL
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python
BlazingSQL is a GPU-accelerated SQL engine built on top of the RAPIDS ecosystem. RAPIDS is based on the Apache Arrow columnar memory format, and cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. BlazingSQL is a SQL interface for cuDF, with various features to support large-scale data science workflows and enterprise datasets. -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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Winds
A Beautiful Open Source RSS & Podcast App Powered by Getstream.io
...For Winds the follow suggestions and the list of articles from the feeds you follow is powered by Stream. Stream accounts are free for up to 3 million feed updates and handle personalization (machine learning) for up to 100 users. -
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Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception. Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training... -
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AI-for-Security-Learning
AI-based security algorithms, and security data analysis
...In addition to demonstrating defensive applications, the repository also explores adversarial machine learning concepts that highlight potential vulnerabilities in AI systems. This dual focus allows readers to study both how AI can improve cybersecurity and how machine learning models themselves can become targets of attacks. -
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Deep-Learning-with-TensorFlow-book
Open source Deep Learning book, based on TensorFlow
...It combines theory with practical examples, making it suitable for beginners who want to learn deep learning through hands-on code. The repository includes the PDF book, companion source code, course slides, and notebook-style materials. It covers core machine learning and deep learning concepts through TensorFlow-based implementation. The project also supports educational use, with materials that can be adopted by students, self-learners, and instructors. Overall, it is a complete learning package for understanding modern deep learning workflows through TensorFlow 2.0 examples. -
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Einstein
A runtime dependency manager
...At its current version, einstein is prepared to communicate to any Gitlab instance, through its api, so it assumes that declared dependencies represents projects that are all stored in a single Gitlab instance. In order to establish a successful connection to the Gitlab Api, it's necessary to create the environment variables on the machine where einstein will be executed. -
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Tez
Tez is a super-simple and lightweight Trainer for PyTorch
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch. tez (तेज़ / تیز) means sharp, fast & active. This is a simple, to-the-point, library to make your PyTorch training easy. This library is in early-stage currently! So, there might be breaking changes. Currently, tez supports cpu, single gpu and multi-gpu & tpu training. More coming soon! Using tez is super-easy. We don't want you to... -
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CleverHans
An adversarial example library for constructing attacks
...In versions v3.1.0 and prior, CleverHans supported TF1; the code for v3.1.0 can be found under cleverhans_v3.1.0/ or by checking out a prior Github release. The library focuses on providing a reference implementation of attacks against machine learning models to help with benchmarking models against adversarial examples. -
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ML workspace
All-in-one web-based IDE specialized for machine learning
All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. ... -
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Shift Time Calculator
Calculates Shift Times
...Written in java (Open JDK 11), this will work on Linux, Mac and Windows as long as you have a Java Runtime environment installed. Windows installer with bundled java runtime environment for those without java on their machine. visit: https://www.openlogic.com/openjdk-downloads if you're having issues with Java... Seems not all JDK's are created equal. -
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Hyperledger Burrow
A permissioned Ethereum smart-contract blockchain node
Hyperledger Burrow is a permissioned Ethereum smart-contract blockchain node. It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web Assembly (WASM) smart contracts. Burrow networks are synchronized using the Tendermint consensus algorithm. ... -
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Machine Learning Collection
A resource for learning about Machine learning & Deep Learning
A resource for learning about Machine learning & Deep Learning. In this repository, you will find tutorials and projects related to Machine Learning. I try to make the code as clear as possible, and the goal is be to used as a learning resource and a way to look up problems to solve specific problems. For most, I have also done video explanations on YouTube if you want a walkthrough for the code. -
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ByteX
ByteX is a bytecode plugin platform based on Android Gradle Transform
ByteX is a bytecode plugin platform based on Android Gradle Transform Api and ASM. (Maybe you can think of it as a socket with unlimited plugs?) In the apk building process, each plugin is completely independent. It not only can run independently from the ByteX host, but also can be automatically integrated into the host into a single Transform along with other plugins. What's more, each plugin's code is decoupled from one another, as well as their host, which makes it extensible and highly... -
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GoWebSocket
golang supports million-connection distributed chat (IM) system
...The project uses gRPC for communication between program components and is structured to support distributed real-time messaging rather than a single-process chat demo. Its documentation highlights single-machine million-connection goals, making performance and concurrency central to the design. gowebsocket is useful for developers studying large-scale WebSocket systems, chat backends, connection management, and Go network programming. It is best treated as a technical reference and learning project for distributed real-time architecture. -
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U-Net Fusion RFI
U-Net for RFI Detection based on @jakeret's implementation
See original code here: https://github.com/jakeret/tf_unet Currently this project is based on Tensorflow 1.13 code base and there are no plans to transfer to TF version 2. The primary improvements to this code base include a training and evaluation framework, along with a fusion based approach to detection, combining a number of models (currently hard coded to two trained models) along with Sum Threshold as an additional "expert." Additional work is being done to add custom layers to... -
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Texthero
Text preprocessing, representation and visualization from zero to hero
Texthero is a python package to work with text data efficiently. It empowers NLP developers with a tool to quickly understand any text-based dataset and it provides a solid pipeline to clean and represent text data, from zero to hero.
