Search Results for "windows box" - Page 4
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Showing 178 open source projects for "windows box"
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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Spyder AI Chat Plugin
Spyder IDE plugin providing separate chat pane for AI Assistance
An OpenAI-compatible chat pane for Spyder 6.1+. Supports OpenAI, Ollama, LM Studio, and any other server that exposes an OpenAI-compatible /v1/chat/completions endpoint. Installation with PyPi in the same environment as Spyder IDE: (spyder) $ pip install spyder-ai-chat Or from source: # clone / download and unzip the project source code, then: (spyder) $ cd spyder_ai_chat (spyder) $ pip install -e . -
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Data Preprocessing Automate
Data Preprocessing Automation: A GUI for easy data cleaning & visualiz
Data Preprocessing Automation is a Python-based GUI application designed to simplify and automate data preprocessing tasks. It allows users to upload Excel files, automatically handle missing values, remove duplicates, and detect and remove outliers using statistical methods. The application provides data visualization tools, including box plots for distribution analysis and scatter plots for exploring relationships between variables. Users can download the processed data for further... -
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LX Linux
A light version of Debian with minimal installed using LXDE.
LX Linux is a distro based on Debian using LXDE as DE with some customization. The installation process uses Calamares. Recommended for very old machines, like 15 years old or more. live password: live Come with some extra repositories to install 3rd part packages (optional). - If brightness keys do not work, open a terminal: sudo nano /etc/default/grub where GRUB_CMDLINE_LINUX_DEFAULT="xxxxx" put acpi_backlight=video or acpi_backlight=vendor try one or another and test... -
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Textinator
Internationalized highly customizable annotation and evaluation tool
Textinator is an open-source internationalized highly-customizable annotation and evaluation tool for Natural Language Processing (NLP) tasks. The tool offers a web interface with a user-friendly UI and supports a number of NLP tasks out of the box. The recommended way of deploying Textinator is through building a production version of the Docker container, as described in the Deployment guidelines. Note that the production version is most definitely more secure and reliable than the... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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pypandoc
Thin wrapper for "pandoc" (MIT)
Pypandoc provides a thin wrapper for pandoc, a universal document converter. Pypandoc uses pandoc, so it needs an available installation of pandoc. Pypandoc provides 2 packages, "pypandoc" and "pypandoc_binary", with the second one including pandoc out of the box. The 2 packages are identical, with the only difference being that one includes pandoc, while the other don't. If pandoc is already installed (i.e. pandoc is in the PATH), pypandoc uses the version with the higher version number,... -
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Streamline Analyst
AI agent that streamlines the entire process of data analysis
Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates all the tasks such as data cleaning, preprocessing, and even complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. -
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Aviary
Ray Aviary - evaluate multiple LLMs easily
Aviary is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs. Providing an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. Supporting Transformer models hosted on Hugging Face Hub or present on local disk. Aviary has native support for autoscaling and multi-node deployments thanks to Ray and Ray Serve. Aviary can scale to zero and create new model replicas (each composed of multiple GPU workers) in... -
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Errbot
Chatbot daemon that connects to your favorite chat services
Errbot is a chatbot, a daemon that connects to your favorite chat service and brings your tools into the conversation. The goal of the project is to make it easy for you to write your own plugins so you can make it do whatever you want, a deployment, retrieving some information online, trigger a tool via an API, troll a co-worker, etc. Errbot is being used in a lot of different contexts, chatops (tools for devops), online gaming chatrooms like EVE, video streaming chatrooms like... -
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pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new... -
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towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to... -
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TextGen
textgen, Text Generation models
Implementation of Text Generation models. textgen implements a variety of text generation models, including UDA, GPT2, Seq2Seq, BART, T5, SongNet and other models, out of the box. UDA, non-core word replacement. EDA, simple data augmentation technique: similar words, synonym replacement, random word insertion, deletion, replacement. This project refers to Google's UDA (non-core word replacement) algorithm and EDA algorithm, based on TF-IDF to replace some unimportant words in sentences with... -
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Autolabel
Label, clean and enrich text datasets with LLMs
Autolabel is a Python library to label, clean and enrich datasets with Large Language Models (LLMs). Autolabel data for NLP tasks such as classification, question-answering and named entity recognition, entity matching and more. Seamlessly use commercial and open-source LLMs from providers such as OpenAI, Anthropic, HuggingFace, Google and more. -
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Detic
Code release for "Detecting Twenty-thousand Classes
Detic (“Detecting Twenty-thousand Classes using Image-level Supervision”) is a large-vocabulary object detector that scales beyond fully annotated datasets by leveraging image-level labels. It decouples localization from classification, training a strong box localizer on standard detection data while learning classifiers from weak supervision and large image-tag corpora. A shared region proposal backbone feeds a flexible classification head that can expand to tens of thousands of categories... -
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Neural Network Intelligence
AutoML toolkit for automate machine learning lifecycle
Neural Network Intelligence is an open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate feature engineering, neural architecture search, hyperparameter tuning and model compression. The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments'... -
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
The summarize-from-feedback repository implements the methods from the paper “Learning to Summarize from Human Feedback”. Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling... -
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A simple WebSocket server
A simple WebSocket server
A simple WebSocket server. -
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data... -
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LM Human Preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
lm-human-preferences is the official OpenAI codebase that implements the method from the paper Fine-Tuning Language Models from Human Preferences. Its purpose is to show how to align language models with human judgments by training a reward model from human comparisons and then fine-tuning a policy model using that reward signal. The repository includes scripts to train the reward model (learning to rank or score pairs of outputs), and to fine-tune a policy (a language model) with... -
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ConvertText
ConvertText lets anyone change the case of your text easily.
ConvertText is a very handy text tool where you can change between cases like Uppercase, Title Case, Random Case, Reverse Text, Backwards Text, Phonetic Alphabet and 1337 (Leet Speak). -
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Flame Auto Clicker
Fastest Auto Clicker on the market . Over 1000 CPS (For Real)
Flame Auto Clicker is an Open Source minimalist Auto Clicker. The CPS limit is your PC, but you can also add delay or click limit, or change the click button or start/stop clicking with a HotKey, which can be edited too. This Auto Clicker can be used with ANY game, Minecraft, Roblox and more! Source Code: GitHub: https://github.com/PETEROLO291/Flame-Auto-Clicker TIP: Set delay to 0 to get super fast clicks. Clicks are only limited by your PC hardwere! Installer: 9,22... -
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youtube-dl
Download videos from YouTube (and more sites)
youtube-dl is a command-line program to download videos from YouTube and a few more sites. It requires the Python interpreter (2.6, 2.7, or 3.2+), and it is not platform specific. We also provide a Windows executable that includes Python. youtube-dl should work in your Unix box, in Windows or in Mac OS X. It is released to the public domain, which means you can modify it, redistribute it or use it however you like. youtube-dl is a powerful, open-source command-line program designed to facilitate the downloading of videos and audio from popular video streaming websites. ... -
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FormatFuzzer
FormatFuzzer is a framework for generation and parsing of binary input
FormatFuzzer is a framework for high-efficiency, high-quality generation and parsing of binary inputs. It takes a binary template that describes the format of a binary input and generates an executable that produces and parses the given binary format. -
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Scikit-Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. The library is built on top of NumPy, SciPy and Scikit-Learn. -
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Aquila DB
An easy to use Neural Search Engine
Aquila DB is a Neural search engine. In other words, it is a database to index Latent Vectors generated by ML models along with JSON Metadata to perform k-NN retrieval. It is dead simple to set up, language-agnostic, and drop in addition to your Machine Learning Applications. Aquila DB, as of current features is a ready solution for Machine Learning engineers and Data scientists to build Neural Information Retrieval applications out of the box with minimal dependencies. -
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Vimplus
An automatic configuration program for vim
vimplus is an opinionated Vim “distribution” and automatic configuration program by chxuan which bundles a large number of plugins and configurations so that you can essentially install Vim once and have a fully-loaded development setup. Rather than starting with a bare .vimrc and gradually adding plugins, vimplus gives you a pre-configured environment that includes file explorers, completion, status lines, themes, and more. It includes a custom installer and update script, and places a lot...
