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Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.

  • ai
  • aisa
  • keyword-research
  • seo

A full spaCy pipeline and models for scientific/biomedical documents.

  • scientific-documents
  • spacy
  • custom-pipes
  • nlp

Easily and efficiently make your ActiveRecord models support hierarchies

  • closure-tree
  • ruby
  • nested-hashes
  • tree-structure

A wiki system with complex functionality for simple integration and a superb interface. Store your knowledge with style: Use django models.

Exploratory analysis of Bayesian models with Python

  • python
  • bayesian
  • closember

Interpretability and explainability of data and machine learning models

  • explainable-ai
  • explainable-ml
  • trusted-ai
  • trusted-ml

Build your own robot duck. XGO-Duck is a 3D-printable biped powered by Arduino UNO Q and 15 servos, adapted from Pollen Robotics' Microduck. Includes mechanical models, PCB designs, a BOM, and an assembly guide. Build it, explore its motion, and make it your own.

An Eloquent Way To Filter Laravel Models And Their Relationships

  • model-filters
  • eloquent-filters
  • dynamic-filters
  • relation-filter

A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.

Laravel Scout provides a driver based solution to searching your Eloquent models.

Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.

  • agents
  • calibration
  • classification
  • decision-making

1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy

lol_dba is a small package of rake tasks that scan your application models and displays a list of columns that probably should be indexed. Also, it can generate .sql migration scripts.

TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.