8,113 results for frame

github.com/oxalorg/sakura

oxalorg/sakura

:cherry_blossom: a minimal css framework/theme. (⭐ 4356)

github.com/skorokithakis/django-annoying

skorokithakis/django-annoying

A django application that tries to eliminate annoying things in the Django framework. ⛺ (⭐ 931)

www.reddit.com/r/Kibbe/comments/1nmzs5h/soft_naturals_strong_curvy_perfection/

Soft Naturals = strong + curvy perfection

SNs really have that “effortless strength” look- broad shoulders, grounded frames, and powerful legs- even without lifting a weight (and even more so if they do). At the same time, they’ve got t...

arxiv.org/abs/2402.15236v1

Font Impression Estimation in the Wild

This paper addresses the challenging task of estimating font impressions from real font images. We use a font dataset with annotation about font impressions and a convolutional neural network (CNN) framework for this task. However, impressions attach...

github.com/nightwatchjs/nightwatch

nightwatchjs/nightwatch

Integrated end-to-end testing framework written in Node.js and using W3C Webdriver API. Developed at @browserstack (⭐ 11954)

www.bing.com/ck/a?!&&p=edfbf54088a8893a20807d1d8f50858cabde7bc8b8c7bea9fcdd6982fa57eac1JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=2e3c5fd2-426b-60b3-283a-48c343de61f5&u=a1aHR0cHM6Ly9zcGFyay5hcGFjaGUub3JnL2V4YW1wbGVzLmh0bWw&ntb=1

Examples - Apache Spark

Spark allows you to perform DataFrame operations with programmatic APIs, write SQL, perform streaming analyses, and do machine learning. Spark saves you from learning multiple frameworks …

arxiv.org/abs/1804.07501v2

FITS Data Source for Apache Spark

We investigate the performance of Apache Spark, a cluster computing framework, for analyzing data from future LSST-like galaxy surveys. Apache Spark attempts to address big data problems have hitherto proved successful in the industry, but its use in...

arxiv.org/abs/2509.22624v1

SPARK: Synergistic Policy And Reward Co-Evolving Framework

Recent Large Language Models (LLMs) and Large Vision-Language Models (LVLMs) increasingly use Reinforcement Learning (RL) for post-pretraining, such as RL with Verifiable Rewards (RLVR) for objective tasks and RL from Human Feedback (RLHF) for subjec...

github.com/williamSYSU/TextGAN-PyTorch

williamSYSU/TextGAN-PyTorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models. (⭐ 911)

www.bing.com/ck/a?!&&p=84fa8f339e37d901dd906e88087b1ddde6328f5dd0da56f04d428614ddcc127bJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=3acc4238-e7fc-69e9-1098-5529e65d6817&u=a1aHR0cHM6Ly93d3cuc2NpZW5jZW5ld3Mub3JnL3RvcGljL2NoZW1pc3RyeQ&ntb=1

Chemistry - Science News

Jan 5, 2026 · Machine learning streamlines the complexities of making better proteins The framework predicts how proteins will function with several interacting mutations and finds combinations that …

arxiv.org/abs/1905.12565v1

Archive Assisted Archival Fixity Verification Framework

The number of public and private web archives has increased, and we implicitly trust content delivered by these archives. Fixity is checked to ensure an archived resource has remained unaltered since the time it was captured. Some web archives do not...

arxiv.org/abs/2506.08030v2

MOSS: Multi-Objective Optimization for Stable Rule Sets

We present MOSS, a multi-objective optimization framework for constructing stable sets of decision rules. MOSS incorporates three important criteria for interpretability: sparsity, accuracy, and stability, into a single multi-objective optimization f...

github.com/SeadexGmbH/yasmine

SeadexGmbH/yasmine

yasmine - the C++ UML state machine framework (⭐ 38)