mrseanryan

mrseanryan's Stars

• facebook/docusaurus

  Easy to maintain open source documentation websites.

  Language:TypeScript56.2k4063.1k8.4k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.8k3703165.8k

• microsoft/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Language:Jupyter Notebook34.5k4021115.8k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k3392684k

• mindsdb/mindsdb

  The platform for building AI from enterprise data

  Language:Python26.6k4024k4.8k

• rahuldkjain/github-profile-readme-generator

  🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

  Language:JavaScript21.5k923856.8k

• BuilderIO/qwik

  Instant-loading web apps, without effort

  Language:TypeScript20.1k1422k1.2k

• timescale/timescaledb

  An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

  Language:C17.7k3082.8k885

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Language:C++14.5k2466.6k2.9k

• BuilderIO/partytown

  Relocate resource intensive third-party scripts off of the main thread and into a web worker. 🎉

  Language:TypeScript13k67309433

• xenova/transformers.js

  State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

  Language:JavaScript11.4k76631708

• gventuri/pandas-ai

  Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python9.7k82456850

• onnx/models

  A collection of pre-trained, state-of-the-art models in the ONNX format

  Language:Jupyter Notebook7.8k1883911.4k

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k695519

• gautamkrishnar/blog-post-workflow

  Show your latest blog posts from any sources or StackOverflow activity or Youtube Videos on your GitHub profile/project readme automatically using the RSS feed

  Language:JavaScript3k19139270

• fbdesignpro/sweetviz

  Visualize and compare datasets, target values and associations, with one line of code.

  Language:Python2.9k53138277

• ZhangGe6/onnx-modifier

  A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

  Language:JavaScript1.3k12103165

• dcmoura/spyql

  Query data on the command line with SQL-like SELECTs powered by Python expressions

  Language:Jupyter Notebook916126425

• uber/h3-py

  Python bindings for H3, a hierarchical hexagonal geospatial indexing system

  Language:Python82333209131

• JasonObeid/Chart2Text

  Chart-to-Text: Generating Natural Language Explanations for Charts by Adapting the Transformer Model

  Language:Python14832532

• gajus/eslint-plugin-canonical

  ESLint rules for Canonical ruleset.

  Language:TypeScript1235247

• dcmoura/matplotcli

  Create matplotlib visualizations from the command-line

  Language:Python50242

• mendix/mlkit-example-app

  Demo for Mendix MLKit

  Language:SCSS5534

• Ordina-Group/designforcosts

  Design for costs – Four pillars of economic cloud design

  4600

• mrseanryan/athena-cli

  Bash scripts to read data from Amazon Athena via SQL files. Python scripts to generate charts via Pandas.

  Language:Python2300

• mrseanryan/calendizer

  :calendar: Generates images of calendar month tables and can paste them onto suitable photos.

  Language:Python2360

• mrseanryan/data-type-predictor

  Given the name of a property or attribute like 'BrandName' or 'AmountReceived', try to predict a data type like String, Boolean, Integer...

  Language:Python2240

• mrseanryan/windows-scripts

  Windows scripts and programming tools and git notes

  Language:JavaScript230

• mrseanryan/Chart2Text-heuristics

  Chart-to-Text: Generating Natural Language Explanations for Charts via heuristics

  Language:Python117

• Praktyka-Zawodowa-2020/optical_graph_recognition

  Language:Python1102