Interested in AI, Machine Learning, Data Engineering, Analytics, Statistics, NLP, Distributed computing, Open Source and Futurology.
llmgraph. Create knowledge graphs with LLMs
508awesome-python. 🐍 Hand-picked awesome Python libraries and frameworks, organised by category
467gptauthor. GPTAuthor is an AI tool for writing long form, multi-chapter stories given a story prompt.
111awesome-crypto. A list of awesome crypto and blockchain projects
86sql-app. App that extracts table and column names from SQL queries
8legaldata. Provides access to Australian legal data
7address-app. Maps free-text address -> Structured fields using machine learning
5llmbanter. LLM Banter: See 2 large language models (LLMs) banter, debate and chat with each other
3minimal-python-project-template. A minimal quick-start Python project template
3resources. Various study resources
3python-tensorflow-m1-template. A quick-start Python project with TensorFlow Metal M1 setup script
2address-net. A package to structure Australian addresses
2poetry-python-project-template. A quick-start Poetry Python project template with helpful functionality and common libraries.
2m1-machine-learning-test. Code for testing various M1 Chip benchmarks with TensorFlow.
1ml-4m. 4M: Massively Multimodal Masked Modeling
1cloud-jeopardy-app. Cloud Jeopardy! An AWS Certification study tool.
1MyMediaLite. lightweight, multi-purpose library of recommender system algorithms
1fastlaw. Fastlaw's purpose is to replace generic word embeddings for work on supervised machine learning NLP-tasks with legal texts.
1cloud-products. A package for getting cloud products and product descriptions from a cloud provider website.
1pytube. A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
1DarkGPT. DarkGPT is an OSINT assistant based on GPT-4-200K (recommended use) designed to perform queries on leaked databases, thus providing an artificial intelligence assistant that can be useful in your traditional OSINT processes.
1python-project-template. A quick-start Python project template with helpful functionality and common libraries.
1google_tuning_playbook. A playbook for systematically maximizing the performance of deep learning models.
1jupyter-experiments. Jupyter Notebook Experiments and Analysis
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