Search Results for "no code" - Page 20
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Showing 1009 open source projects for "no code"
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1
TGAN
Generative adversarial training for generating synthetic tabular data
...Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system where TGAN is run. For development, you can use make install-develop instead in order to install all the required dependencies for testing and code listing. In order to be able to sample new synthetic data, TGAN first needs to be fitted to existing data. -
2
porttree
Show dependences of a FreeBSD port as a pseudo graphic tree
For a given FreeBSD port, determine its dependences using any combination of the FETCH_, EXTRACT_, PATCH_, BUILD_, LIB_, RUN_ and TEST_DEPENDS, and show them as a pseudo graphical tree. Use back references for cross-connections. -
3
PythonRobotics
Python sample codes and textbook for robotics algorithms
PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. -
4
Code Catalog in Python
Algorithms and data structures for review for coding interview
code-catalog-python serves as a grab-bag of small, readable Python examples that illustrate common algorithms, data structures, and utility patterns. Each snippet aims to be self-contained and easy to study, with clear inputs, outputs, and the essential logic on display. The catalog format lets you scan for an example, copy it, and adapt it to your use case without wading through a large framework. -
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5
django-rest-auth
This app makes it extremely easy to build Django powered SPA's
...Tivix specializes in backend web development for Fortune 500 enterprises, venture-backed startups and NGOs. We reduce development risk by using sprint methodology and standards-based code to get applications to market quickly. A well-built backend will result in a seamless user experience that scales as you grow. A poorly-built backend causes bugs, glitches and potential security issues. -
6
Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
...This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts. -
7
ShadowSocksShare
Python ShadowSocks framework
...Since Google plus will be closed on April 2, 2019, almost all the available accounts crawled before come from Google plus. So if you are building your own website, please keep an eye on the updates of this project and redeploy using the latest source code. -
8
Codepad
A free source code editor and Notepad replacement for Windows
A free source code editor and Notepad replacement for Windows. Source code on GitHub: https://github.com/altarawy/codepad -
9
PythonQt
Dynamic Python binding for Qt Applications
NOTE: PythonQt has been moved to https://github.com/MeVisLab/pythonqt PythonQt is a dynamic and lightweight script binding of the Qt framework to the Python language. It can be easily embedded into Qt applications and makes any QObject derived object scriptable via Python without the need of wrapper code generation. -
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10
data-science-ipython-notebooks
Data science Python notebooks: Deep learning
...Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. By combining narrative explanations with executable code, it shortens the path from theory to working prototypes. -
11
ATX
Smart phone automation tool. Support iOS, Android, WebApp and game
...The libraries for Android and iOS native application testing have been separated and can be used alone (it is strongly recommended to use it alone, firstly, it has less dependencies and high stability, and secondly, it can be automatically completed when writing code) -
12
Examples.Python
Shows how to use tkinter only by programming code (Python).
Examples Python shows how to use tkinter only by programming code (Python). * Github repository : https://github.com/gammasoft71/Examples.Python * Homepage : https://gammasoft71.wixsite.com/gammasoft/python -
13
coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language. -
14
Autologging
Easier logging and tracing of Python functions and class methods.
Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). -
15
Jupyter Themes
Custom Jupyter Notebook Themes
jupyter-themes brings theme management to classic Jupyter Notebooks with a command-line tool that can restyle the interface, code cells, and UI chrome in seconds. It ships a catalog of popular dark and light themes and lets you customize fonts, font sizes, cell widths, and toolbar visibility so the notebook matches your preferred reading and coding ergonomics. The theming system adjusts CodeMirror syntax highlighting to keep code legible against chosen backgrounds and provides options to harmonize matplotlib/plotly colors for cohesive visuals. ... -
16
ECS:Python
Light-weight C++ library for embedding Python into C++
...Python can be downloaded from: www.python.org/download What's new in v3.0: * Fixed x64 pointer types. * Added CI and unit tests. * Cleaned up project structure and code formatting. * Switch to C++11 std::mutex. -
17
SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
...Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision. -
18
FilterPy
Python Kalman filtering and optimal estimation library
...It implements standard, extended, and unscented Kalman filters, along with Kalman smoothers. The package also includes particle filters, least-squares filters, fading-memory filters, g-h filters, discrete Bayes methods, and H-infinity tools. Its code favors readability and close correspondence with the underlying equations. NumPy and SciPy handle the numerical work, with Matplotlib commonly used for visualization. The library accompanies the book Kalman and Bayesian Filters in Python and is useful for learning, prototyping, tracking, navigation, and estimation experiments. -
19
Django JET
Modern responsive template for the Django admin interface
Django JET has two kinds of licenses: open-source (AGPLv3) and commercial. Please note that using AGPLv3 code in your programs makes them AGPL compatible too. So if you don't want to comply with that we can provide you a commercial license (visit the Home page). The commercial license is designed for using Django JET in commercial products and applications without the provisions of the AGPLv3. Add URL-pattern to the URL patterns of your Django project urls.py file (they are needed for related–lookups and autocomplete). ... -
20
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 . . . -
21
Skater
Python library for model interpretation/explanations
...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. The library has embraced object-oriented and functional programming paradigms as deemed necessary to provide scalability and concurrency while keeping code brevity in mind. -
22
Spooky Coder
Auto code generation for many languages.
Quickly define your ORM with the simple Brainstorm format, then instantly create your SQL, Java, PHP, Python, Perl, even C++, etc. code to manage all your object relationships. -
23
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... -
24
Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With... -
25
Python/xarray tutorial
Python/xarray tutorial for GEOS-Chem users
If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda management system. ...
