Search Results for "machine" - Page 89
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Showing 4715 open source projects for "machine"
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IntrOS
Free cooperative operating system designed for microcontrollers
Free, simple and tiny cooperative operating system (OS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8, AVR8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state. -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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Dotfiles (gf3)
Configurations for the tools I use every day
...It typically includes files like .zshrc, .vimrc, .gitconfig, and other scripts or plugin configs, plus installation or bootstrap helper scripts. The structure often supports modular overrides (machine-specific or role-specific configs) and may integrate with tools like GNU Stow, chezmoi, or custom symlink automation. The intent is that one can clone the repo on a new machine and reliably reproduce a consistent working environment with minimal manual setup. Often these dotfiles include helpful aliases, prompt customizations, plugin hooks, and cross-platform tweaks for macOS, Linux, or Windows subsystems. ... -
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GimpRemote
Ubuntu Based Virtual Server using noVNC to serve Gimp.
...GIMP is a trademark of its owner. No endorsement is implied. Source code for files that have been created or changed is included in this project. Source code for the remainder of the virtual machine can be downloaded from Ubuntu, noVNC, and WebSockify. -
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Knock Knock
Get notified when your training ends
Knock Knock is a lightweight Python utility created by the Hugging Face team that allows developers to receive notifications when long-running machine learning tasks finish or fail. Training deep learning models often takes hours or even days, making it inconvenient for engineers to constantly monitor progress manually. The library solves this problem by adding simple decorators or command-line commands that automatically send notifications when a process completes or crashes. ... -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 >= TF >= 1.4.0). Applicability. Many people already have their own ML workflows and want to put a new model on their workflows. TensorNets can be easily plugged together because it is designed as simple functional interfaces without custom classes. Manageability. Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and... -
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Network Manager Control
A network manager control for OpenBSD
Nmctl a small python script that allow you to manage your network connections on an OpenBSD machine. Typically you can switch, in one click, from a wifi, to cable, to an another wifi, .... You can even ask nmctl to establish automatically the most approprate connection for you. -
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the... -
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NLP-progress
Repository to track the progress in Natural Language Processing (NLP)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. This document aims to track the progress in Natural Language Processing (NLP) and give an overview of the state-of-the-art (SOTA) across the most common NLP tasks and their corresponding datasets. It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such... -
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BOSS V01-LTS gnome desktop
Lightweight Blockchain dedicated OS
...The future will undoubtedly be governed by blockchain systems and operative systems must to be ready for this changes. BOSS bet to be pioneer on this. BOSS has an interesting combination of security, manageability, speed and performance and can be used on any x64 X86 machine LIVE or install it. Maximum performance in a really small space taking up less than 1 GB download which puts us at the forefront among the lightest and safest distributions as leaders in relation to gb-installed applications. -
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Python Machine Learning
The "Python Machine Learning (2nd edition)" book code repository
This repository accompanies the well-known textbook “Python Machine Learning, 2nd Edition” by Sebastian Raschka and Vahid Mirjalili, serving as a complete codebase of examples, notebooks, scripts and supporting materials for the book. It covers a wide range of topics including supervised learning, unsupervised learning, dimensionality reduction, model evaluation, deep learning with TensorFlow, and embedding models into web apps. -
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awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data
All lists are in alphabetical order. In the lists, maintained projects are prioritized vs not mantained. A repository is considered "not maintained" if the latest commit is > 1 year old, or explicitly mentioned by the authors. -
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Shipit
Universal automation and deployment tool
...If you can't call shipit.initConfig(...) right away because you need to get data asynchronously to do so, you can return a promise from the module. List of files excluded in copyFromRemote or copyToRemote methods. Allows you to ‘become’ another user, different from the user that logged into the machine (remote user). If shallowClone is set to false, this directory will be used to clone the repository before deploying it. -
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DevuanOS
Buils your own Devuan Linux Live in 10 Minutes with Debootstrap
Only need to Execute 5 Scripts in a Xubuntu Virtual Machine and get your own Live Devuan Linux Distro created. GITHUB: https://github.com/dinooz/devuanos Have u ever like to have your own Devuan Linux Distribution ? Have you ever like to have a lean distro with only specific packages ? Have you ever wanted a Devuan 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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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. ... -
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Weld
High-performance runtime for data analytics applications
...Instead of optimizing individual functions independently, Weld introduces an intermediate representation that allows different frameworks to share optimization opportunities. This approach reduces data movement between libraries and enables the system to generate highly optimized machine code for parallel execution. Weld is particularly useful for workloads involving large-scale data processing in frameworks such as NumPy, Spark, and TensorFlow. The language includes built-in constructs for expressing data-parallel operations, enabling efficient execution on modern hardware architectures. By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines. -
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A.I. Stock Trends With WEKA & TA-Lib
A Repository Of The Java Programs Presented in the Videos.
This is the open/public source code repository for the Java programs shown in the YouTube videos - A.I. Stock Trends With WEKA, TA-Lib and more https://www.youtube.com/channel/UCPxmgFZDS7F06UBBxH5b4mg -
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Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles
Deep-Learning-for-Recommendation-Systems is a curated repository that aggregates research papers, articles, and code related to deep learning methods for recommender systems. The project organizes influential academic work covering topics such as collaborative filtering, neural recommendation models, and deep feature learning. It includes references to papers describing architectures like collaborative deep learning, neural autoregressive models, and convolutional approaches to... -
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CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. ... -
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BytePS
A high performance and generic framework for distributed DNN training
...We show our experiment on BERT-large training, which is based on GluonNLP toolkit. The model uses mixed precision. We use Tesla V100 32GB GPUs and set batch size equal to 64 per GPU. Each machine has 8 V100 GPUs (32GB memory) with NVLink-enabled. Machines are inter-connected with 100 Gbps RDMA network. This is the same hardware setup you can get on AWS. -
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BOSS1
BOSS operative system is a new Linux distribution based on Ubuntu.
Our operating system has been designed and built on an ubuntu core consisting of an interesting combination of security, manageability, speed and performance. It can be used on any x64 X86 machine simply after installation. https://bitcointalk.org/index.php?topic=5251621. https://bitcointalk.org/index.php?topic=5250388. Feel the most recent news on our bitcointalk topics or join our discord for fast support and join the community o discord server https://discord.gg/3fbUefN -
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ChainerRL
ChainerRL is a deep reinforcement learning library
ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments... -
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Lucet
Lucet, the Sandboxing WebAssembly Compiler.
Lucet is a native WebAssembly compiler and runtime designed to securely execute untrusted code with high performance and strong isolation guarantees. Developed by the Bytecode Alliance, it focuses on ahead-of-time compilation, converting WebAssembly modules into native machine code before execution to achieve fast startup times and predictable performance. Lucet is particularly notable for its use in edge computing environments, where low latency and efficient resource usage are critical, such as in content delivery networks. It leverages the Cranelift code generator to produce optimized native binaries and provides a runtime that enforces strict sandboxing, ensuring that untrusted code cannot compromise the host system. ... -
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imgaug
Image augmentation for machine learning experiments
imgaug is a library for image augmentation in machine learning experiments. It supports a wide range of augmentation techniques, allows to easily combine these and to execute them in random order or on multiple CPU cores, has a simple yet powerful stochastic interface and can not only augment images but also key points/landmarks, bounding boxes, heatmaps and segmentation maps. Affine transformations, perspective transformations, contrast changes, gaussian noise, dropout of regions, hue/saturation changes, cropping/padding, blurring, etc. ... -
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TypeScript Koa Starter
TypeScript Koa Starter
Koa with TypeScript's application generator. Creates a new typescript koa application. application is configured to use TypeScript instead of plain JavaScript. Node Js is great for the rapid development of web-projects, but is often neglected because of the lack of type safety. TypeScript solves this issue and (along with its linter file) can even make your code more robust than some other static languages like Java.
