github.com/dair-ai/ML-Notebooks
dair-ai/ML-Notebooks
:fire: Machine Learning Notebooks (⭐ 3435)
en.wikipedia.org/wiki/93rd_Academy_Awards
93rd Academy Awards - Wikipedia
resources Oscars 2021 Archived February 15, 2019, at the Wayback Machine at BBC News Oscars 2021 at The Guardian Other resources The Oscars (2021) at
www.csmonitor.com/World/Europe/2014/0717/Web-evidence-points-to-pro-Russia-rebels-in-downing-of-MH17
Wayback Machine points to pro-Russia rebels in downing of MH17
Points: 231 | Comments: 105 | Author: wumpus
www.bing.com/ck/a?!&&p=cd8c7f815a0e914d7a22eee4059098f26daece15d3cf1986891e67c2998cd28bJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=0283b3a2-8078-63ad-0d68-a4b0813062e2&u=a1aHR0cHM6Ly93d3cud29yZHJlZmVyZW5jZS5jb20vZGVmaW5pdGlvbi9vcGVyYXRpbmc&ntb=1
operating - WordReference.com Dictionary of English
of, for, or pertaining to operations: an operating budget. of or pertaining to the proper operation of a machine, appliance, etc.: a manual of operating instructions.
arxiv.org/abs/1910.02578v3
Differential Privacy-enabled Federated Learning for Sensitive Health Data
Leveraging real-world health data for machine learning tasks requires addressing many practical challenges, such as distributed data silos, privacy concerns with creating a centralized database from person-specific sensitive data, resource constraint...
github.com/AmateursLeague/sneaky-package
AmateursLeague/sneaky-package
A ready-to-deploy Python package designed to ?️♂️ stealthily integrate files within a machine, ensuring ?️ discreet and seamless file operations without detection. (⭐ 26)
www.youtube.com/watch?v=hFnbtTajKzk
Video Feedback Kinetic Sculpture: God Machine II, Sleater-Kinney Version
Points: 2 | Comments: 0 | Author: thelightherder
en.wikipedia.org/wiki/Big_%28film%29
Big (film) - Wikipedia
but upon seeing the machine and the fortune, she realizes that he was telling the truth and becomes despondent that their relationship will end. Josh
arxiv.org/abs/2503.18023v1
Regularization of ML models for Earth systems by using longer model timesteps
Regularization is a technique to improve generalization of machine learning (ML) models. A common form of regularization in the ML literature is to train on data where similar inputs map to different outputs. This improves generalization by preventin...
www.bing.com/ck/a?!&&p=f145eeaab0f4e2738abd4aa95266be620110665d5214f9448b0ce8731551ce5eJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=10539b7c-579a-64bd-347a-8c6e56da65f9&u=a1aHR0cHM6Ly9haS5zdGFja2V4Y2hhbmdlLmNvbS9xdWVzdGlvbnMvOTc1MS93aGF0LWlzLXRoZS1jb25jZXB0LW9mLWNoYW5uZWxzLWluLWNubnM&ntb=1
machine learning - What is the concept of channels in CNNs ...
Dec 30, 2018 · The concept of CNN itself is that you want to learn features from the spatial domain of the image which is XY dimension. So, you cannot change dimensions like you mentioned.
www.bing.com/ck/a?!&&p=c1de8d961c2826a63389e109dece9bc9459930d246fe00734fdcae41b3570f77JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=10539b7c-579a-64bd-347a-8c6e56da65f9&u=a1aHR0cHM6Ly9haS5zdGFja2V4Y2hhbmdlLmNvbS9xdWVzdGlvbnMvMjE4MTAvd2hhdC1pcy1hLWZ1bGx5LWNvbnZvbHV0aW9uLW5ldHdvcms&ntb=1
machine learning - What is a fully convolution network? - Artificial ...
Jun 12, 2020 · Fully convolution networks A fully convolution network (FCN) is a neural network that only performs convolution (and subsampling or upsampling) operations. Equivalently, an FCN is a CNN …
arxiv.org/abs/2502.10756v1
Understanding Magnesium Dissolution through Machine Learn-ing Molecular Dynamics
Magnesium alloys have become increasingly important for various potential industrial applications, especially in energy storage, due to their outstanding properties. However, a clear under-standing of the dissolution mechanism of magnesium in the mos...
www.bing.com/ck/a?!&&p=c09684663294ea09faf18d70ee48d3b799af2e824ce73504074dfec9d8d4f63fJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=2a56758e-561f-6db5-3352-629c57916c45&u=a1aHR0cHM6Ly9mb3J1bS53b3JkcmVmZXJlbmNlLmNvbS90aHJlYWRzL2hvbWVtYWRlLXZzLWhhbmRtYWRlLjIwMjc0MTQv&ntb=1
homemade vs. handmade | WordReference Forums
Jan 9, 2011 · Well, "homemade" means "made at home" while "handmade" means made by hand, not by a machine. Many "homemade" items are also "handmade," because people who make things at …
arxiv.org/abs/2306.14574v2
U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT
Results from the TinyML community demonstrate that, it is possible to execute machine learning models directly on the terminals themselves, even if these are small microcontroller-based devices. However, to date, practitioners in the domain lack conv...
arxiv.org/abs/2306.01407v2
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation an…
A/B testing is a common approach used in industry to facilitate innovation through the introduction of new features or the modification of existing software. Traditionally, A/B tests are conducted sequentially, with each experiment targeting the enti...
arxiv.org/abs/2306.01404v1
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning
Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these systems meet their goals these uncertainties have to be mitigated. One...
github.com/luispedro/BuildingMachineLearningSystemsWithPython
luispedro/BuildingMachineLearningSystemsWithPython
Source Code for the book Building Machine Learning Systems with Python (⭐ 2133)
arxiv.org/abs/2509.03148v2
Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, S…
The Romansh language, spoken in Switzerland, has limited resources for machine translation evaluation. In this paper, we present a benchmark for six varieties of Romansh: Rumantsch Grischun, a supra-regional variety, and five regional varieties: Surs...
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Can I call a vacuum cleaner cleaner a vacuum cleaner?
Oct 8, 2017 · If a 'vacuum cleaner cleaner' is a machine for cleaning vacuum cleaners, then the person who cleans the vacuum cleaner cleaner would be a 'vacuum cleaner cleaner cleaner'.
arxiv.org/abs/2504.17066v2
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching
Fairness-aware learning aims to mitigate discrimination against specific protected social groups (e.g., those categorized by gender, ethnicity, age) while minimizing predictive performance loss. Despite efforts to improve fairness in machine learning...