Search Results for "bells"

A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images.

🐛 Willy the Worm: A nostalgic retro gaming adventure that revives the classic 1985 platformer by Alan Farmer! Guide Willy, a charming invertebrate with big dreams, as he climbs ladders, bounces on springs, collects presents, and rings bells while avoiding dangerous tacks and bouncing balls. This Python remake features fullscreen support, customizable controls, adjustable game speed, and even mouse support for modern players! Challenge yourself across multiple levels of increasing difficulty, earn points, and compete for high scores. The included level editor lets you create and share your own Willy adventures, while the HD sprite tool allows you to give Willy a high-definition makeover. ...

Hiera is a hierarchical vision transformer designed to be fast, simple, and strong across image and video recognition tasks. The core idea is to use straightforward hierarchical attention with a minimal set of architectural “bells and whistles,” achieving competitive or superior accuracy while being markedly faster at inference and often faster to train. The repository provides installation options (from source or Torch Hub), a model zoo with pre-trained checkpoints, and code for evaluation and fine-tuning on standard benchmarks. Documentation emphasizes that model weights may have separate licensing and that the code targets practical experimentation for both research and downstream tasks. ...

minGPT is a minimalist, educational re-implementation of the GPT (Generative Pretrained Transformer) architecture built in PyTorch, designed by Andrej Karpathy to expose the core structure of a transformer-based language model in as few lines of code as possible. It strips away extraneous bells and whistles, aiming to show how a sequence of token indices is fed into a stack of transformer blocks and then decoded into the next token probabilities, with both training and inference supported. Because the whole model is around 300 lines of code, users can follow each step—from embedding lookup, positional encodings, multi-head attention, feed-forward layers, to output heads—and thus demystify how GPT-style models work beneath the surface. ...

...There are timestamp macros, along with media player control macros for Play/Pause toggle Jump backwards Jump forwards Slower Faster Normal Audio speed Jump to timestamp This is the "BASIC" version stripped of some of the bells and whistles. As fs3 Basic uses LibreOffice for the transcription input, it means you are working in a world class editor, which can produce output files in most popular formats including MS Word files.

a Project with All the bells and whistles to allow the average user to fully benefit from HTTP,DNS,FTP,SSH through python, allowing quick and easy deploying of servers without compiling, or installing anything but our favorite language.

An unit testing framework (http://www.xprogramming.com/software.htm) to allow unit testing of Products in a real Zope environment, with all the bells and whistles.