Search Results for "sandbox:/mnt/data/project_plan.pod" - Page 16
Sort By:
Showing 649 open source projects for "sandbox:/mnt/data/project_plan.pod"
View related business solutions-
LinkSquares: All-in-One Contract Management PlatformLinkSquares is the leading Contract Lifecycle Management (CLM) software designed to help legal, procurement, and business operations teams master the entire contract lifecycle, from creation to execution and renewal. The platform transforms how companies manage agreements by centralizing data, automating routine work, and providing actionable insights powered by AI. This single, connected source of truth helps teams eliminate manual processes, streamline workflows, boost visibility, and ensure compliance across thousands of contracts, ultimately reducing risk and administrative burden.
-
Searching for a better way to ship ecommerce? We can helpShipHero is built for multi-channel commerce. With a few clicks, you can connect your stores. ShipHero will download new products, as well as sync existing ones. When changes are made to your inventory all connected stores will be updated.
-
1
Sploit
SploitFrameWork *BETA*
WELCOME TO THE SPLOITFRAMEWORK SPLOIT COMES WITH A PAYLOAD OF THINGS FOR ALL YOUR HACKING NEEDS, SUCH AS 1. Email Phishing 2. Spear Phishing 3. Spoofing 4. Credential Harvester 5. Kayloggers 6. Tabnabbing And More . . . -
2
Data Algorithm/leetcode/lintcode
Data Structure and Algorithm notes
This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress. -
3
Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
...The approach acts as a regularizer, encouraging linear behavior in the feature space between samples, which helps reduce overfitting and enhance performance on unseen data. -
4
Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). The concept of model interpretability in the field of machine learning is still new, largely subjective, and, at times, controversial. Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in algorithmic decision-making. ... -
Run your private office with the ONLYOFFICEA Comprehensive Alternative to Office 365 for Business
-
5
fooltrader
Quant framework for stock
Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. ... -
6
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution filters to extract n-gram features that are then pooled and fed into a classifier. The project includes scripts for training, evaluation, and data handling, making it easy to run experiments on datasets such as movie reviews or other labeled text collections. By breaking down the model into understandable components, it serves as a practical reference for students and practitioners learning how deep learning models handle text beyond traditional bag-of-words approaches. -
7
Leo is an outlining-oriented project manager and browser. With Leo you can organize programs, web sites, URL's, pictures or any other kind of data. Leo is fully scriptable in Python. Leo is 100% pure Python. It requires the Qt gui toolkit.
-
8
-
9
Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
-
Fully managed relational database service for MySQL, PostgreSQL, and SQL ServerCloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
-
10
GDL - GNU Data Language, a free IDL (Interactive Data Language, see http://ittvis.com/idl/) compatible incremental compiler.
-
11
Zhao
A compilation of "The Princely Party Relationship Network"
zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. -
12
MAD-X Python Builder
Build windows executable from Python file. Easily compiler your Python
Build windows executable from your Python file, with areas that requires your program info, description, Icon etc. It is possible to load existing data sets, given they are under corresponding Pickle formats, while saving also generates an Pickle file. Info fields can meet most demands, Windowed or consoled program type. One-file or Folder package, Encryption module, Hidden-Imports, UPX Compatible, Icon, program end-name, Debug mode and more. -
13
jsondata
Modular JSON by trees and branches, pointers and patches
The 'jsondata' package provides for the modular in-memory processing of JSON data by trees, branches, pointers, and patches. The main interface classes are: - JSONData - Core for RFC7159 based data structures. Provides modular data components. - JSONDataSerializer - Core for RFC7159 based data persistence. Provides modular data serialization. - JSONPointer - RFC6901 for addressing by pointer paths. Provides pointer arithmetics -
14
pyhanlp
Chinese participle
...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 data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch. -
15
pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook
PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing libraries in the world, so it makes sense to interface with it. -
16
Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. ... -
17
leet
Leet is CCEx's software application for on-the-fly encryption (OTFE).
...The goal of leet however is to be simpler and as user friendly as possible, making encryption and securing of information accessible to anybody, even those who don't necessarily have any prior knowledge of data securing, algorithms and encryption. However it's not targeted at this group of users only, part of the ambition of this project is to reach companies, institutions, governments (etc...) as well. -
18
DC/OS
DC/OS - The Datacenter Operating System
DC/OS (Datacenter Operating System) is an open-source distributed operating system based on the Apache Mesos kernel. It abstracts a cluster of machines into a single logical computer, simplifying the deployment and management of containerized applications and services. DC/OS provides a comprehensive platform for running modern applications with features like container orchestration, service discovery, and scalability. -
19
pyCGNS
A Python package for CGNS
pyCGNS is now on github: https://pycgns.github.io/index.html https://github.com/pyCGNS/pyCGNS -
20
PyXB (“pixbee”) is a pure Python package that generates Python source code for classes that correspond to data structures defined by XMLSchema. In concept it is similar to JAXB for Java and CodeSynthesis XSD for C++.
-
21
Needle
The iOS Security Testing Framework
Needle is an open-source, modular framework to streamline the process of conducting security assessments of iOS apps. Needle was originally made to work with iOS 9 and iOS 10. Since then, Frida was released and become the defacto tool to use with mobile security assessments. Some common Frida mobile security scripts were later implemented within Needle, as some of these scripts worked better or addressed some issues that were present in Needle's custom tooling. Assessing the security of an... -
22
Flask JSONDash
Build complex dashboards without any front-end code
...The dashboard layout and blueprint styles are pre-packaged, and provide only the essentials, while getting out of the way. Drag-and-drop your layout easily and intuitively. Multiple layout modes - bootstrap grid-based or totally freeform. Data utilities for munging and manipulating data suitable for various charts. -
23
seq2seq
A general-purpose encoder-decoder framework for Tensorflow
...The codebase showcased best practices for batching, bucketing by sequence length, and handling variable-length sequences efficiently on GPUs. Researchers used it as a baseline to reproduce classic results and to prototype new attention variants and training tricks. It also offered scripts for data preprocessing, evaluation, and exporting models for serving. Although now historical as newer frameworks have emerged, seq2seq remains a clear, pedagogical implementation that documents the core ideas behind modern encoder-decoder systems. -
24
EasyHTML
A python package for building DOM of the HTML documents
A python package that provides an easy access to elements of HTML and XHTML documents through the Document Object Model. -
25
Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
