Highlights
- Pro
Lists (2)
Stars
A news crawler for BBC News, Reuters and New York Times.
Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data cra…
Inspect: A framework for large language model evaluations
Maze generation and path-finding algorithm visualiser using React.js.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Running large language models on a single GPU for throughput-oriented scenarios.
Making large AI models cheaper, faster and more accessible
A library for efficient similarity search and clustering of dense vectors.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
A Conversational Information Seeking (CIS) Paper Reading List Maintained by Chuan Meng.
Educational materials for universities
☕ Free and open-source Jekyll theme
A command line interface for interacting with the Box API.
A CLI interface for Marp and Marpit based converters
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Packaged versions of Zotero and Juris-M for Debian-based systems
Computations and statistics on manifolds with geometric structures.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.