Search Results for "acme cross-assembler code"

This program can mass create multiple promotional movies at once using only these elements: - Pre-recorded .mp4 video clips. - Title card .png image file. - Ending card .png image file. - Sound effect 1 that plays during the Title card. - Sound effect 2 that plays during the Ending card. It will join the video clips in a alphabetical order, apply a Fade from Black transitions to all them individually, place a Title Card + sound effect after the first clip and an Ending Card with...

Avogadro is an advanced molecular editor designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science and related areas. It offers a flexible rendering framework and a powerful plugin architecture.

Bridgex is an open‑source graphical interface for converting files to Markdown, built in Python and based on Pyside6 (Qt for Python). Its objective is to simplify access to the Markitdown library through a straightforward, modular visual experience. Features ✨ - Cross‑platform graphical interface. - Efficient file‑to‑Markdown conversion. - Modularity: easy to adapt and extend. - Support for multiple input formats. - Lightweight editing prior to saving. Supported Formats...

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. During the model conversion, we generate some code snippets to simplify later retraining or inference. ...

Error Propagation Calculator is essentially a cross-platform GUI front-end for the Python Uncertainties library that does not require knowledge of Python to use. Simply point and click to enter values and errors, input your expression and press compute. The program evaluates native Python code, but the user does not need to know the syntax as common operators are provided as buttons, similar to a scientific calculator.

TeXPerfect plans to be a cross-platform, extensible, user-friendly yet expert-tunable visual TeX implementation. The most important feature will be a split screen (inspired by WordPerfect(R) Reveal Codes) showing the underlying TeX code.