Tag: source
-
An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI
An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI The guide to automated improvement of scientific and industrial repositories using open-source AI agents The post An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI appeared first on Towards Data Science. Nikolay Nikitin Go to original source
-
Silicon Darwinism: Why Scarcity Is the Source of True Intelligence
Silicon Darwinism: Why Scarcity Is the Source of True Intelligence We are confusing “size” with “smart.” The next leap in artificial intelligence will not come from a larger data center, but from a more constrained environment. The post Silicon Darwinism: Why Scarcity Is the Source of True Intelligence appeared first on Towards Data Science. Aakash…
-
Advantages and limitations in the use of transfer learning for individual treatment effects in causal machine learning
Advantages and limitations in the use of transfer learning for individual treatment effects in causal machine learning arXiv:2512.16489v1 Announce Type: new Abstract: Generalizing causal knowledge across diverse environments is challenging, especially when estimates from large-scale datasets must be applied to smaller or systematically different contexts, where external validity is critical. Model-based estimators of individual treatment…
-
Provable Accelerated Bayesian Optimization with Knowledge Transfer
Provable Accelerated Bayesian Optimization with Knowledge Transfer arXiv:2511.03125v1 Announce Type: new Abstract: We study how Bayesian optimization (BO) can be accelerated on a target task with historical knowledge transferred from related source tasks. Existing works on BO with knowledge transfer either do not have theoretical guarantees or achieve the same regret as BO in the…
-
Building a Geospatial Lakehouse with Open Source and Databricks
Building a Geospatial Lakehouse with Open Source and Databricks An example workflow for vector geospatial data science The post Building a Geospatial Lakehouse with Open Source and Databricks appeared first on Towards Data Science. Robert Constable Go to original source
-
Unsupervised Domain Adaptation with an Unobservable Source Subpopulation
Unsupervised Domain Adaptation with an Unobservable Source Subpopulation arXiv:2509.20587v1 Announce Type: new Abstract: We study an unsupervised domain adaptation problem where the source domain consists of subpopulations defined by the binary label $Y$ and a binary background (or environment) $A$. We focus on a challenging setting in which one such subpopulation in the source domain…
-
SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant
SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant arXiv:2509.15593v1 Announce Type: new Abstract: In transfer learning, a source domain often carries diverse knowledge, and different domains usually emphasize different types of knowledge. Different from handling only a single type of knowledge from all domains in traditional transfer learning methods, we introduce an ensemble learning…
-
Formal Bayesian Transfer Learning via the Total Risk Prior
Formal Bayesian Transfer Learning via the Total Risk Prior arXiv:2507.23768v1 Announce Type: new Abstract: In analyses with severe data-limitations, augmenting the target dataset with information from ancillary datasets in the application domain, called source datasets, can lead to significantly improved statistical procedures. However, existing methods for this transfer learning struggle to deal with situations where…
-
Transfer Learning for Matrix Completion
Transfer Learning for Matrix Completion arXiv:2507.02248v1 Announce Type: new Abstract: In this paper, we explore the knowledge transfer under the setting of matrix completion, which aims to enhance the estimation of a low-rank target matrix with auxiliary data available. We propose a transfer learning procedure given prior information on which source datasets are favorable. We…
-
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks arXiv:2504.00890v1 Announce Type: new Abstract: This paper develops a new spectral clustering-based method called TransNet for transfer learning in community detection of network data. Our goal is to improve the clustering performance of the target network using auxiliary source networks, which are heterogeneous, privacy-preserved,…
-
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data arXiv:2502.20414v1 Announce Type: new Abstract: Transfer learning is an important approach for addressing the challenges posed by limited data availability in various applications. It accomplishes this by transferring knowledge from well-established source domains to a less familiar target domain. However, traditional transfer…
-
Building Trust in LLM Answers: Highlighting Source Texts in PDFs
Building Trust in LLM Answers: Highlighting Source Texts in PDFs 100% accuracy isn’t everything: helping users navigate the document is the real value Continue reading on Towards Data Science » Angela & Kezhan Shi Go to original source
-
damn im plugging for aws!?
https://aws.amazon.com/blogs/publicsector/how-an-open-source-emr-system-has-transformed-patient-healthcare-in-more-than-50-countries/?utm_source=flipboard&utm_content=other
-
Open Source AI Inference API w/ Together
Open Source AI Inference API w/ Together sentdex Go to original source
-
open source billing
https://github.com/getlago/lago