Monorepo for the client, server, etc. of the Debate Map website.
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Updated
May 9, 2024 - TypeScript
Monorepo for the client, server, etc. of the Debate Map website.
🪁All the DSA(Data-Structures & Algorithms) 📒Concepts and 📏Implementations📐 |📈 FAANG Must Do Problems |🔰 CP |📑SDE Sheet's |🖊️ CSE Core Subjects(DBMS + MySql, OOP's, OS & CN) | ✏️Round 1(Aptitude, Logical Reasoning, Puzzle's, Programing MCQ's & Verbal ability) and 🃏Projects. || 🎯Aim :- Help 👨🚀Students who are preparing for SDE Interview's🏆.
TypeDB: the polymorphic database powered by types
Library and application for encoding non-classical logics into classical higher-order logic.
TypeQL: the polymorphic query language of TypeDB
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
Reasoning Engine for Neuro-Symbolic AI
Implementation of an LLM prompting pipeline combined with wrappers for auto-decomposing reasoning steps and for search through the reasoning-step-space (eg. by beam search, MCTS etc.) guided by self-evaluation.
The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)
Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.
An exhaustive list of all Rust resources regarding automated or semi-automated formalization efforts in any area, constructive mathematics, formal algorithms, and program verification.
This repository highlights the LLMs reasoning capabilities of ✨ Mistral / LLaMA / Phi / Gemma / Flan-T5 / ChatGPT ✨ in Targeted Sentiment Analysis in Russian / Translated to English mass-media 📊
A Knowledge Base System for Cognition-enabled Robots
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. arXiv 2024
a curated list of data for reasoning ai
📄 A curated list of visual reasoning papers.
A codebase for "Language Models can Solve Computer Tasks"
Awesome deliberative prompting: How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.
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