A Search engine Based of Simularity, Utlizing a Hierarchy Genre Umbrella system with vector simularity
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Updated
Oct 5, 2026 - Python
A Search engine Based of Simularity, Utlizing a Hierarchy Genre Umbrella system with vector simularity
Private, on-device semantic search for your own documents.
Search policies for LLM AutoTune: the policy SDK, a reference random search, and a chaos policy
An open-source, local-first Model Context Protocol (MCP) server for **AI Search Crawler Governance, Brand Safety Guardrails, Canonical Integrity, and IndexNow Notifications
A search engine that goes through a vast library of Edexcel IAL Past Papers (January 2010 to January 2025). A sleek way to find any question from a vast library of past papers, to perhaps make topicals or just find an answer to.
Snake AI project for the NLPF 2026 course, in two parts (1h30 each): a PyTorch Deep Q-Learning agent (Linear_QNet, 14-value state, epsilon-greedy, experience replay, Bellman equation), and pathfinding algorithms (Dijkstra, GBFS, plus a custom Hamiltonian-cycle hybrid that always wins). Base game left unmodified.
Senet game with an Expectiminimax AI, custom evaluation function, caching, and search-tree analysis.
JAxtar is a project with a JAX-native implementation of parallelizeable A* & Q* solver for neural heuristic search research.
Deep file search utility for Windows
Retrieves viral TikTok content for you automatically
Pokémon TCG AI agent for the PTCG AI Battle Challenge, built on the real cg battle engine: v1 frozen baseline through v7 — real A/B-tested expectimax search, learned leaf-value model, belief-state opponent modeling, and an engine-cross-validated card dataset. Every result real, self-play tested, reported honestly.
Solving the Eight Queens problem using a Genetic Algorithm in Python.
The official source repository for AXIOM. Read the technical white paper at doi.org/10.6084/m9.figshare.33514507.
Academic benchmark of search algorithms on 2D grids. Compares A*, BFS, DFS, Dijkstra and Bidirectional Search with Manhattan, Euclidean, Chebyshev and Octile heuristics using search-library.
Academic demonstration of search algorithms on weighted city road networks. Compares A*, BFS, DFS, Dijkstra and Bidirectional Search for optimal pathfinding using search-library.
A professional, extensible search algorithm framework for discrete spaces. Implements A* with pluggable heuristics for graphs and 2D grids.
A classical AI forward-planning algorithm (STRIPS-style) implemented from scratch in Python, built on a hand-written first-order unification algorithm. Created for a graduate Artificial Intelligence course.
基于洛谷的个人算法与数据结构学习记录,以 Python 为主、C++ 为辅,按专题整理题目代码与学习笔记。
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