{"id":27877058,"url":"https://github.com/daedalus/aiscripts","last_synced_at":"2025-05-05T02:55:55.154Z","repository":{"id":286653520,"uuid":"962106061","full_name":"daedalus/AIscripts","owner":"daedalus","description":"Scripts created with AI of white papers and publications","archived":false,"fork":false,"pushed_at":"2025-04-29T16:12:24.000Z","size":929,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-29T17:28:07.482Z","etag":null,"topics":["ai","bloomfilter","cassowary-algorithm","cuckoo-filter","feistel-network","gemm","gpt","karatsuba","karatsuba-matrix-multiplication","llm","meta-gradient-descent","noprop","phylolm","whitepaper","zeedlm","zeromerge"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/daedalus.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-04-07T16:53:17.000Z","updated_at":"2025-04-29T16:12:28.000Z","dependencies_parsed_at":"2025-04-07T17:43:57.487Z","dependency_job_id":"e1fe244b-058a-443f-be2b-90805cc08a86","html_url":"https://github.com/daedalus/AIscripts","commit_stats":null,"previous_names":["daedalus/aiscripts"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daedalus%2FAIscripts","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daedalus%2FAIscripts/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daedalus%2FAIscripts/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daedalus%2FAIscripts/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/daedalus","download_url":"https://codeload.github.com/daedalus/AIscripts/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252429927,"owners_count":21746571,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","bloomfilter","cassowary-algorithm","cuckoo-filter","feistel-network","gemm","gpt","karatsuba","karatsuba-matrix-multiplication","llm","meta-gradient-descent","noprop","phylolm","whitepaper","zeedlm","zeromerge"],"created_at":"2025-05-05T02:55:54.729Z","updated_at":"2025-05-05T02:55:55.148Z","avatar_url":"https://github.com/daedalus.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AIscripts #\n\n**AIscripts** is a collection of experimental algorithms, machine learning components, and optimization tools inspired by various domains. This repository serves as a playground for exploring computational efficiency, mathematical models, and AI-driven solutions.\n\n![AIscripts](https://img.shields.io/badge/Status-Experimental-orange)\n\n---\n\n## Features\n\n### Core Components\n- **Matrix Operations**:\n\n  `GEMM_tiled.py` - Tiled implementation of General Matrix Multiply (GEMM).\n\n  `KMM.py` - Karatsuba Matrix Multiplication utilities.\n\n  `MGD.py` - Meta Gradient Descent optimizer.  \n\n- **AI/ML Tools**:  \n\n  `SeedLM.py` - Seed and coefficient selection algorithm for a single weight block.\n\n  `aicommit.py` - AI-assisted Git commit message generator.\n\n  `barcode_ssd_mobilenet_v1_dmp25_quant.tflite.runner.py` - TensorFlow Lite runner for SSD MobileNet-based barcode detection.  \n\n  `ZeroMerge.py` - Parameter-Free KV Cache Compression for Memory-Efficient Long-Context LLMs.\n\n  `NoProp.py` - Training Neural Networks without Back-propagation or Forward-propagation.\n\n  `PhyloLM.ipynb` and `phylolm.py` - Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks.\n\n  `DLFloat.py` - Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float\n\n- **Probabilistic Data Structures**:\n\n  `bloomfilter.py` - Classic Bloom filter implementation.\n\n  `cuckoofilter.py` - Space-efficient Cuckoo filter.\n  \n- **Optimization \u0026 Cryptography**:   \n\n  `minimal_feistel_network.py` - Compact Feistel network cipher.\n  \n- **Combinatorial Algorithms**:  \n\n  `polyomino_tiling.py` - Polyomino tiling solver.  \n\n  `cassowary.py` - Constraint-solving algorithm implementation.  \n\n- **Misc**:\n\n  `calcDa.py` - Density altitude calculator.\n\n  `mdnscan.py` - mdns simple scanner.  \n\n  `mbf.py` - Minimal bloom filter implementation. \n\n---\n\n## Getting Started\n\n### Prerequisites\n- Python 3.8+\n- `pip install -r requirements.txt`  \n  *(Example dependencies: NumPy, TensorFlow Lite, PyTorch)*\n\n### Basic Usage\n```bash\n# Run matrix multiplication benchmark\npython GEMM_tiled.py --size 1024\n\n# Generate AI-assisted commit message\npython aicommit.py --diff \u003cyour_git_diff\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaedalus%2Faiscripts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaedalus%2Faiscripts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaedalus%2Faiscripts/lists"}