github.com/stas00/ml-engineering
stas00/ml-engineering
Machine Learning Engineering Open Book (⭐ 17258)
arxiv.org/abs/2308.02796v1
OBESEYE: Interpretable Diet Recommender for Obesity Management using Machine Lea…
Obesity, the leading cause of many non-communicable diseases, occurs mainly for eating more than our body requirements and lack of proper activity. So, being healthy requires heathy diet plans, especially for patients with comorbidities. But it is di...
github.com/SeldonIO/seldon-core
SeldonIO/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models (⭐ 4731)
arxiv.org/abs/2309.05687v1
Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot
With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot has been trained on billions of lines of open source GitHub code, and is one of such tools that has been increasingl...
arxiv.org/abs/2303.15956v2
The DL Advocate: Playing the devil's advocate with hidden systematic uncertainti…
We propose a new method based on machine learning to \emph{play the devil's advocate} and investigate the impact of unknown systematic effects in a quantitative way. This method proceeds by reversing the measurement process and using the physics resu...
arxiv.org/abs/1710.06845v1
Can Machine Learning Create an Advocate for Foster Youth?
Statistics are bleak for youth aging out of the United States foster care system. They are often left with few resources, are likely to experience homelessness, and are at increased risk of incarceration and exploitation. The Think of Us platform is...
arxiv.org/abs/1808.09123v2
Investigating Human + Machine Complementarity for Recidivism Predictions
When might human input help (or not) when assessing risk in fairness domains? Dressel and Farid (2018) asked Mechanical Turk workers to evaluate a subset of defendants in the ProPublica COMPAS data for risk of recidivism, and concluded that COMPAS pr...
www.reddit.com/r/ChronicPain/comments/1cj3rb4/why_did_no_one_tell_me_about_tens_machines/
WHY DID NO ONE TELL ME ABOUT TENS MACHINES?!?
20F, chronic pain, patella Alta, POTS and suspected hEDS. HAPPY RANT/VENT Quick note: pls do not use a TENS machine without consulting your dr. Incorrect placement can cause injury and TENS cannot...
www.reddit.com/r/Interstitialcystitis/comments/1nyby9e/get_a_tens_machine_its_awesome/
GET A TENS MACHINE (it’s awesome)
So this has been saving my life recently!!!! My pelvic floor therapist recommended me to buy A TENS unit (Transcutaneous Electrical Nerve Stimulation) for my incredibly severe urethral pain that feels...
github.com/tensorflow/tensorflow
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone (⭐ 194033)
github.com/adeshpande3/March-Madness-ML
adeshpande3/March-Madness-ML
Machine learned bracketology (⭐ 190)
arxiv.org/abs/1909.10660v3
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window…
Recently, there has been a surge of interest in the use of machine learning to help aid in the accurate predictions of financial markets. Despite the exciting advances in this cross-section of finance and AI, many of the current approaches are limite...
arxiv.org/abs/2510.06762v2
Function regression using the forward forward training and inferring paradigm
Function regression/approximation is a fundamental application of machine learning. Neural networks (NNs) can be easily trained for function regression using a sufficient number of neurons and epochs. The forward-forward learning algorithm is a novel...
arxiv.org/abs/2311.09248v1
Smart Home Goal Feature Model -- A guide to support Smart Homes for Ageing in Pl…
Smart technologies are significant in supporting ageing in place for elderly. Leveraging Artificial Intelligence (AI) and Machine Learning (ML), it provides peace of mind, enabling the elderly to continue living independently. Elderly use smart techn...
arxiv.org/abs/2201.06118v1
DeepCreativity: Measuring Creativity with Deep Learning Techniques
Measuring machine creativity is one of the most fascinating challenges in Artificial Intelligence. This paper explores the possibility of using generative learning techniques for automatic assessment of creativity. The proposed solution does not invo...
www.reddit.com/r/somethingimade/comments/1qczbjn/my_first_year_as_a_knitwear_maker/
My first year as a knitwear maker
In december 2024 I bought my first domestic knitting machine and decided to give becoming a knitwear maker/costumer a shot. I love vintage fashion, so I mostly hunt for obscure knitting patterns from ...
en.wikipedia.org/wiki/Nexus_9
Nexus 9 - Wikipedia
virtual machine with ART. Google has included an additional step to "Enable OEM unlock" before users can unlock the Nexus 9 bootloader. The Nexus 9 was announced
arxiv.org/abs/2601.17072v1
Trademark Search, Artificial Intelligence and the Role of the Private Sector
Almost every industry today confronts the potential role of artificial intelligence and machine learning in its future. While many studies examine AI in consumer marketing, less attention addresses AI's role in creating and selecting trademarks that...
arxiv.org/abs/2102.04419v2
Analysis of the Effectiveness of Face-Coverings on the Death Ratio of COVID-19 U…
The recent outbreak of the COVID-19 led to the death of millions of people worldwide. To stave off the spread of the virus, the authorities in the US employed different strategies, including the mask mandate order issued by the states' governors. In...
news.ycombinator.com/item?id=1839611
Offer HN: Advice from PhD on NLP, machine learning, and data monetization
Points: 112 | Comments: 63 | Author: bravura