aviabird/gringotts
A complete payment library for Elixir and Phoenix Framework (⭐ 497)
A complete payment library for Elixir and Phoenix Framework (⭐ 497)
Jun 15, 2020 · It's absolutely possible to do this! Of course you'll need to skill up on things like Creating a bot for Microsoft Teams, which in turn builds on the Microsoft Bot Framework underneath, so there's …
A Low Profile Component Framework – Stable, minimal, easy to audit, zero-dependencies and build-tool-free. (⭐ 889)
Automated monitoring of marine mammals in the St. Lawrence Estuary faces extreme challenges: calls span low-frequency moans to ultrasonic clicks, often overlap, and are embedded in variable anthropogenic and environmental noise. We introduce a multi-...
Sep 12, 2020 · But if you have separate CNN to extract features, you can extract features for last 5 frames and then pass these features to RNN. And then you do CNN part for 6th frame and you pass …
I show that a software framework intended primarily for training of neural networks, PyTorch, is easily applied to a general function minimisation problem in science. The qualities of PyTorch of ease-of-use and very high efficiency are found to be ap...
Sep 12, 2020 · But if you have separate CNN to extract features, you can extract features for last 5 frames and then pass these features to RNN. And then you do CNN part for 6th frame and you pass …
“Internal auditors” refers to Institute members, recipients of or candidates for IIA professional certifications, and those who provide internal audit services within the Definition of Internal Auditing.
The core activity of a Private Equity (PE) firm is to invest into companies in order to provide the investors with profit, usually within 4-7 years. To invest into a company or not is typically done manually by looking at various performance indicato...
In this work, we introduce CHAIR (Classifier of Hallucination As ImproveR), a supervised framework for detecting hallucinations by analyzing internal logits from each layer of every token. Our method extracts a compact set of features such as maximum...
In recent years, vision language pre-training frameworks have made significant progress in natural language processing and computer vision, achieving remarkable performance improvement on various downstream tasks. However, when extended to point clou...
Multi-hop question answering (QA) involves finding multiple relevant passages and performing step-by-step reasoning to answer complex questions. Previous works on multi-hop QA employ specific methods from different modeling perspectives based on larg...
Mindfulness meditation has seen increasing applications in diverse domains as an effective practice to improve mental health. However, the standardized frameworks adopted by most applications often fail to cater to users with various psychological st...
Jan 23, 2026 · Becoming Led Zeppelin, a film about the British band that dominated the music industry in the 1970s, was the most successful feature documentary at the US box office in 2025, taking over …
A narrative environment is a space, whether physical or virtual, in which stories can unfold. A virtual narrative environment might be the narrative framework
We propose a novel framework for generating causal graphs from narrative texts, bridging high-level causality and detailed event-specific relationships. Our method first extracts concise, agent-centered vertices using large language model (LLM)-based...
May 14, 2016 · I don't believe that the tag homotopy-type-theory is warranted, unless you are looking for a solution in the new foundational framework of homotopy type theory. It sure would be an interesting …
telecommunications and reinforcement learning. Reinforcement learning utilizes the MDP framework to model the interaction between a learning agent and its environment
Traffic congestion caused by non-recurring incidents such as vehicle crashes and debris is a key issue for Traffic Management Centers (TMCs). Clearing incidents in a timely manner is essential for improving safety and reducing delays and emissions fo...
We consider a lifelong learning scenario in which a learner faces a neverending and arbitrary stream of facts and has to decide which ones to retain in its limited memory. We introduce a mathematical model based on the online learning framework, in w...