Search Results for "s-transform"

LazyVim is a Neovim setup powered by 💤 lazy.nvim to make it easy to customize and extend your config. Rather than having to choose between starting from scratch or using a pre-made distro, LazyVim offers the best of both worlds - the flexibility to tweak your config as needed, along with the convenience of a pre-configured setup.

OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google,...

PC Equalizer is a Graphical User Interface for "Equalizer APO" which is a parametric / graphic equalizer for Windows. Tired of lackluster sound quality on your computer? Say goodbye to tinny audio and hello to an immersive audio experience! With just a few clicks, you can now transform your computer into a high-fidelity sound system that rivals professional setups! Designed for those in search of a fixed-frequency equalizer, providing a convenient and effortless way to filter audio. It offers control over all audio channels, including stereo, mono, swap, invert, balance, and more. The Pan\Expand processing feature allows for the adjustment of stereo effects. ...

The fast-neural-style project is an implementation of neural style transfer techniques optimized for real-time image processing. It uses convolutional neural networks to apply artistic styles to images, enabling users to transform photos into stylized outputs inspired by famous artworks. Unlike earlier approaches that required expensive optimization per image, this project leverages feed-forward networks to achieve fast inference, making style transfer practical for real-world applications. The repository includes training scripts, pre-trained models, and examples demonstrating how to apply styles efficiently. ...