Search Results for "website using python" - Page 99
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Showing 4302 open source projects for "website using python"
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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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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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MultiBootUSB
Create multiboot live Linux on a USB disk
MultiBootUSB is a cross platform* software/utility to create multi boot live Linux on a removable USB disk. It is similar to UNetbootin but many distros can be installed, provided you have enough space on the disk. MultiBootUSB also provides an option to uninstall distro(s) at any time, if you wish. -
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pyspider
A powerful Spider(Web Crawler) system in Python
pyspider is a powerful Spider(Web Crawler) system in Python. Components are connected by message queue. Every component, including message queue, is running in their own process/thread, and replaceable. That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. -
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DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python
Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning. -
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"Circular Multilateral Barter" (CMB) is aimed at supplying entrepreneurs with a way to exchange goods and services within a p2p-network, without using money, overcoming the "double coincidence of wants" problem, inherent to traditional barter. Most importantly, CMB allows traders to issue their own currencies (called "products"), which others can redeem, trade, or make payments with. One thing that distinguishes CMB from other "credit commons" is that all debts in CMB are user-to-user...
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Easy Markdown to Github Pages
Convert Markdown files in Github to a full website using Github Pages
Convert Markdown files in Github to a full website using Github Pages. You don't need to use the command line or anything other than your browser. It doesn't require any knowledge in Jekyll. It's completely compatible with any bunch of markdown files you already have in any existing repository without any modification to those files. That includes the basic README.md almost all repositories contain. -
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mAP
Evaluates the performance of your neural net for object recognition
In practice, a higher mAP value indicates a better performance of your neural net, given your ground truth and set of classes. The performance of your neural net will be judged using the mAP criteria defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both give the same results). First, your neural net detection-results are sorted by decreasing confidence and are assigned to ground-truth objects. We have "a match" when they share the same label and an IoU >= 0.5 (Intersection over Union greater than 50%). ... -
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tinfoleak
OSINT tool for extracting and analyzing Twitter intelligence data
tinfoleak is an open source intelligence (OSINT) and social media intelligence (SOCMINT) tool designed to automate the collection and analysis of data from Twitter. It focuses on helping analysts extract large volumes of information from Twitter timelines using identifiers such as usernames, geographic coordinates, or keywords. Once the data is gathered, tinfoleak organizes it into structured information that can support intelligence analysis and investigative research. tinfoleak is capable... -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. ... -
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting... -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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EvalAI
Evaluating state of the art in AI
EvalAI is an open-source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. We allow the creation of an arbitrary number of evaluation phases and dataset splits, compatibility using any programming language, and organizing results in both public and private leaderboards. Certain large-scale challenges need special computing capabilities for evaluation. If the challenge needs extra computational power, challenge organizers can... -
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pyhanlp
Chinese participle
pyhanlp is a Python interface for HanLP (Han Language Processing) that lets you use a mature Java-based NLP toolkit from Python workflows without rebuilding the underlying algorithms. It is commonly used for Chinese-language NLP tasks where you want production-grade tokenization and linguistic analysis, but still want the convenience of Python scripting. The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into... -
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Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python
Data science solutions, insights, dashboards, machine learning, deployment. We start at 100GB. Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. ... -
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Python-Glade-Application-Design
My Project Quickcal Showing Python-Glade-Application-Design
Please download the above file to see My Project Quickcal Showing Python-Glade-Application-Design, also packaged for debian. Contains the debian folder as well. The commands for building a debian binary are as follows : On the project source folder: 1. debuild -us -uc --lintian-opts --profile debian 2. cd .. 3. debsign quickcal_1.0_amd64.changes 4. dput mentors quickcal_1.0_amd64.changes ( optional for passing on to debian archives ) All these steps and much more are detailed in this article : http://hacking.elboulangero.com/2016/10/01/debian-package-publishing.html My other project quickcal gives you the debian binary built using the above steps : https://sourceforge.net/projects/quickcal/ -
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
Siamese and triplet learning is a PyTorch implementation of Siamese and triplet neural network architectures designed for learning embedding representations in machine learning tasks. These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train... -
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I2Cpytools
Python scripts to handle I2C sensors from your PC and graphing
UPDATE: Software for ELV with sensors BME280, TSL2591 is now also integrated into GeigerLog! Download at https://sourceforge.net/projects/geigerlog/ ! ---------- I2Cpytools is software for the use of I2C sensors at a PC. It uses Python3 scripts. The connection of the sensors to the PC is done via USB-dongles. Three different ones are supported, which can be used simultaneously: * ELV USB-I2C, ELV Elektronik AG https://www.elv.de/ * IO-Warrior24 Dongle IOW24-DG), Code Mercenaries... -
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Python-Glade-Application-Design-II
My Project Helpman Showing Python-Glade-Application-Design
Please download the above file to see My Project Helpman Showing Python-Glade-Application-Design, also packaged for debian. Contains the debian folder as well. The commands for building a debian binary are as follows : On the project source folder: 1. debuild -us -uc --lintian-opts --profile debian 2. cd .. 3. debsign helpman_1.0_amd64.changes 4. dput mentors helpman_1.0_amd64.changes ( optional for passing on to debian archives ) All these steps and much more are detailed in this article : http://hacking.elboulangero.com/2016/10/01/debian-package-publishing.html My other project helpman-1 gives you the debian binary built using the above steps : https://sourceforge.net/projects/helpman-1/ -
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pi-sdr
Raspberry Pi 2 or 3 8Gb image, running rtl-sdr
This project will enable anyone with a Raspberry Pi to get a visual representation of Radio Frequencies (RF), using Software Defined Radio (SDR) principles - all this contained in a compressed 8Gb microSD card image, ready to run. There is Raspberry Pi image for using Realtek based USB Tv tuner as Software Defined Radio scanner. As a bonus - there is a stripped down version of Raspbian before all of the SDR software was installed and configured. Instructions on how to do it manually... -
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haipproxy
Distributed proxy IP pool for web crawlers using Scrapy and Redis
...It automatically crawls proxy resources from the internet and aggregates them into a centralized pool that can be accessed by distributed spiders and scraping systems. It is built using Python and relies on Scrapy for high-performance crawling while Redis is used for data storage, communication, and task coordination between components. It includes crawlers that discover proxy servers, validators that test proxy availability and performance, and schedulers that manage crawling and validation tasks. HAipproxy aims to maintain a high availability proxy pool with low latency so that scraping frameworks can rotate proxies efficiently and avoid blocking during large-scale data collection. ... -
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Clustergrammer
An interactive heatmap visualization built using D3.js
Clustergrammer is a visualization library built using D3.js that enables intuitive interaction with high-dimensional data. Clustergrammer was built with biological data in mind. Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end (Clustergrammer-PY) is built using Python. -
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FastPhotoStyle
Style transfer, deep learning, feature transform
FastPhotoStyle is a deep learning-based image stylization framework designed to transfer the style of one photograph onto another while preserving photorealistic quality. Unlike traditional artistic style transfer methods that produce painterly outputs, this approach focuses on maintaining realistic textures, lighting, and spatial consistency. The method is based on a two-step process that includes a stylization phase followed by a smoothing operation, ensuring that the output image remains... -
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The Deep Review
A collaboratively written review paper on deep learning, genomics, etc
This repository is home to the Deep Review, a review article on deep learning in precision medicine. The Deep Review is collaboratively written on GitHub using a tool called Manubot (see below). The project operates on an open contribution model, welcoming contributions from anyone. To see what's incoming, check the open pull requests. For project discussion and planning see the Issues. As of writing, we are aiming to publish an update of the deep review. We will continue to make project... -
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TEACUP
TCP Experiment Automation Controlled Using Python
TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP... -
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PyBitmessage
Reference client for Bitmessage
PyBitmessage is a decentralized, encrypted, and trustless communication protocol that allows users to send messages without relying on central servers or exposing metadata. Built in Python, it provides an alternative to email by using strong cryptography and a distributed peer-to-peer network for anonymity. PyBitmessage operates through deterministic addresses and proof-of-work to mitigate spam. It's a pioneer in secure communication and offers a unique decentralized messaging approach. -
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Curriculum Vitae
A LaTeX template for academic CVs
These are the LaTeX sources for my academic CV. I decided to make my own template after using moderncv for a while. I wanted a cleaner look and something that is more unique (as much as an academic CV can be). It was also a chance for me to learn some LaTeX templating. -
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party line voice chat script
WebRTC complete web based Party Line Voice Chat Script
Install your own Free Voice Chat Party Line that runs 24 hours a day! No phone numbers to call, a complete mobile friendly web based Party Line Script. Using the latest browser technology to deliver live free voice chat from pc's and cell phones to any HTTPS web page in the world. Works on any cheap shared Linux server hosting platform with HTTPS. Can be used for Professional Business Owners support and information pages. Can be used to create an instant fun party line voice chat website where many people can all voice chat at the same time. ...
