Search Results for "python-4suite-xml" - Page 82
Sort By:
14154 projects for "python-4suite-xml" with 1 filter applied:
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
1
arclog archives the log files monthly. It supports Apache access log, Syslog, NTP, Apache 1 SSL engine log, modified ISO date/time log file formats, and Apache-like logs like CUPS, ProFTPD, Pure-FTPd… etc., and gzip and bzip2 compression methods.
-
2
yowsup
The WhatsApp lib
yowsup is a python library that enables building applications that can communicate with WhatsApp users. The project started as the protocol engine behind Wazapp for Meego and OpenWA for BB10. Now as a standalone library it can be used to power any custom WhatsApp client. During maintenance of yowsup, several projects have been spawned in order to support different features that get introduced by WhatsApp. -
3
SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple... -
4
AI Platform Training and Prediction
Cloud ML Engine repo
AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. The repository covers the full machine learning lifecycle, including data preprocessing, model... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
5
JasperStarter
Running JasperReports from command line
JasperStarter is a command line launcher and batch compiler for JasperReports. -
6
Machine Learning Financial Laboratory
MlFinLab helps portfolio managers and traders
MlFinLab is a comprehensive Python library designed to support the development of machine learning strategies in quantitative finance and algorithmic trading. The project provides a large collection of tools that implement techniques from academic research on financial machine learning. It covers the full lifecycle of developing data-driven trading strategies, including data preprocessing, feature engineering, labeling techniques, model training, and performance evaluation. -
7
Record matching software
-
8
instagram-profilecrawl
Instagram profile crawler that extracts posts, tags, and stats
instagram-profilecrawl is a Python-based automation script designed to collect publicly available information from Instagram profiles. It crawls profile data such as follower counts, post information, hashtags, and other engagement-related metadata. It operates by automating a web browser using Selenium and performing requests to gather structured information from the platform. instagram-profilecrawl can analyze multiple usernames in a single run and store the extracted information locally in structured formats such as JSON. ... -
9
Transarctica Remake
Open source revival of the game Transarctica / Arctic Baron
The main goal of the project to offer the original game's full functionality. Roam a hostile frozen world in a futuristic steampunk train, fight exciting train battles and try to stay alive against all odds while searching for clues about the "Sun". -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
OpenEMM e-mail & marketing automation
software for email automation (newsletters, transaction mails, etc.)
This is an archive for old versions of OpenEMM. You will find the latest version of OpenEMM here: https://wiki.openemm.org OpenEMM is a browser-based enterprise application for email automation like info and marketing newsletters, transaction mails or multi-stage email campaigns. OpenEMM offers tons of features for professional users, among them: a great user interface, template-based HTML mailings, automatic bounce management, mail opening and link tracking, lots of graphical realtime... -
11
Snakes of Apocalypse
Snakes of Apocalypse is a funny multiplayer game
...Joypads are supported and automatically detected (PS2, PS4, Xbox360, possibly others), only one player can use keyboard, rest must use joypads. Game was tested only on win32, but nevertheless it should run also on Linux and Mac just fine (any platform that has Python and Pygame). -
12
Beasties
Defeat all the beasties to claim victory!
Beasties is an OS-independent game written in Java (as of ver2.0.0, prior versions written in Python). The object is to defeat a number of monsters without dying. You have a knife, a gun, extra ammo, and a few medical supplies to help you -
13
OS-uninstaller
Remove any operating system in 1 click !
See https://sourceforge.net/p/os-uninstaller/wiki -
14
Nimporter
Compile Nim Extensions for Python On Import
Nimporter allows the seamless import of Nim code into Python projects, enabling the use of Nim's performance and syntax within Python applications. -
15
Grade School Math
8.5K high quality grade school math problems
The grade-school-math repository (sometimes called GSM8K) is a curated dataset of 8,500 high-quality grade school math word problems intended for evaluating mathematical reasoning capabilities of language models. It is structured into 7,500 training problems and 1,000 test problems. These aren’t trivial exercises — many require multi-step reasoning, combining arithmetic operations, and handling intermediate steps (e.g. “If she sold half as many in May… how many in total?”). The problems are... -
16
python-tutorial
Practical Python tutorials, including Python basics
python-tutorial is a practical Python learning repository that collects examples for everyday programming tasks. It covers Python fundamentals, advanced language features, object-oriented programming, multithreading, databases, data science, Flask development, web crawling, and utility scripting. The project is intended for beginners learning Python and for working developers who want reference implementations for common scripts. -
17
A library of tools for doing computation in game theory.
-
18
kangle is a light, high-performance web server.support fastcgi/isapi/ajp/uwsgi/scgi/hmux protocol.include a http manage console. Full support access control. memory/disk cache. virtual host can run in seperate process and user. and more
-
19
Python Protocol Simulator
multiple protocol simulator written in python
portable python protocol simulator for testing purposes. Support radius, diameter, dhcp, ldap, EAP calculations(SIM, AKA, AKA') -
20
pyModSlave
Modbus TCP/RTU Slave Software.
pyModSlave is a free python-based implementation of a ModBus slave application for simulation purposes. You can install the python module or use the precompiled (for Windows only) stand alone GUI (Qt based) utility (unzip and run). pyModSlave also includes a bus monitor for examining all traffic on the bus. You can also download it from pypi <https://pypi.org/project/pyModSlave/>. -
21
YOLOv4
PyTorch implementation of YOLOv4
...The project also connects to the broader YOLOv4 family, including CSP-based architecture ideas and real-time detection improvements. It is best suited for researchers and engineers who want YOLOv4 behavior in a Python-first deep learning environment. -
22
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. -
23
libhdate, hcal and hdate
C library for Hebrew dates / times of day / solar times
...The package includes: hcal and hdate, command line programs for the Hebrew calendar, dates and times of day information. Also included are library bindings to other programming languages (C++, pascal, python, perl, ruby, php). The api is also of general use for calculating solar times anywhere on Earth for any astronomical date (julian day number). -
24
vim-surround
Delete/change/add parentheses/quotes/XML-tags/much more with ease
...The key insight is that surroundings are structural: once Vim understands the bounds, operations become predictable and composable with your existing motions. The plugin handles common cases like quotes and parentheses as well as HTML/XML tags, making it equally useful in prose and code. Because the commands are orthogonal to movements, you can target words, sentences, or visual selections without learning new modes. Over time, vim-surround becomes muscle memory, reducing cognitive load and helping you keep your hands on the keyboard during structural edits. -
25
scikit-learn tips
50 scikit-learn tips
scikit-learn-tips is an educational repository that collects practical advice and best practices for using the scikit-learn machine learning library effectively. The project consists of short explanations and examples that highlight common patterns, pitfalls, and techniques used when building machine learning workflows in Python. Each tip typically demonstrates how specific components of scikit-learn, such as pipelines, preprocessing utilities, or model evaluation tools, should be applied in real projects. The repository focuses on improving the efficiency and clarity of machine learning code by showing how to structure preprocessing, model training, and evaluation steps properly. ...
