Stars
ankane / sqlparser-rs
Forked from apache/datafusion-sqlparser-rsExtensible SQL Lexer and Parser for Rust
Bringing BERT into modernity via both architecture changes and scaling
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Examples and demos on how to use Retrieval Augmented Generation with Large Language Models
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Data Pipeline Framework using the singer.io spec
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
Paper List for Recommend-system PreTrained Models
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Train transformer language models with reinforcement learning.
JavaScript/TypeScript static analyzer for call graph construction, library usage pattern matching, and vulnerability exposure analysis
Algorithmically generated triangle art
A speed comparison between the GPUs offered by Google Colab vs the MacBook M1 Max 24 Core chip
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
ANTLR4 language support for Visual Studio Code
A d3 javascript library/plugin for drawing bi-directional hierarchical sankey diagrams
Legendaarne 1990ndate kooliarvuti JUKU peab olema kasutatav ka aastal 3000!
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Override.sh/cal.txt hack examples and documentation (GoPro HERO4 auto executable)
An opinionated example of how to use SVG icons in a Vue.js application
❤️ Real world base Vue.js app. Access/refresh tokens auth, api services, http client, vuex modules
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.