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JPF is an extensible software analysis framework for Java bytecode. jpf-core is the basis for all JPF projects; you always need to install it. It contains the basic VM and model checking infrastruc…
In this android project I have created an edittext which mimics the functionality of Instagram 'Type mode stories'. This Edittext auto resizes the textsize for each line.
A collection of samples demonstrating different frameworks and techniques for automated testing
Lightweight and fast library written in C# for reading Microsoft Excel files
ClosedXML is a .NET library for reading, manipulating and writing Excel 2007+ (.xlsx, .xlsm) files. It aims to provide an intuitive and user-friendly interface to dealing with the underlying OpenXM…
Source code about Python Development
Example apps for my stunning Sun Valley ttk theme!
A modern theming library for Tkinter that adds sleek, responsive styles inspired by Bootstrap. Includes ready-to-use widgets, 20+ themes, and tools for building beautiful, cross-platform desktop ap…
A gorgeous theme for Tkinter/ttk, based on the Sun Valley visual style ✨
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…
Client/server to synchronize media playback on mpv/VLC/MPC-HC/MPC-BE on many computers
Deep Learning For Computer Vision With Python
A collection of labeled car driving datasets
Implementation of Nvidia's DAVE2 NN in Keras, with some enhancements
A Deep Learning based project for colorizing and restoring old images (and video!)
An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。
A simple zero-config tool to make locally trusted development certificates with any names you'd like.
A toolbox to iNNvestigate neural networks' predictions!
Tensorflow tutorial for various Deep Neural Network visualization techniques
A basic implementation of the Layer-wise Relevance Propagation algorithm in Tensorflow.
Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow
Pruning and other network surgery for trained Keras models.
Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, C.-B. Schönlieb
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
Keras documentation, hosted live at keras.io