Lists (8)
Stars
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Python bindings to PDFium, reasonably cross-platform.
cl-onnx: Import pretrained ONNX models into Common Lisp and run them with Caten!
Simple, unified interface to multiple Generative AI providers
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
☄️ Simple but effective sorting and filtering for Emacs.
AutoEvals is a tool for quickly and easily evaluating AI model outputs using best practices.
Literature references for “Designing Data-Intensive Applications”
A comfortable and well-configurable graphical Frontend for incremental backups, with a command-line version also available. Modified files are transferred, while unchanged files are linked to the n…
Find, verify, and analyze leaked credentials
Automatically monitor the evolving performance of Flask/Python web services.
Healthcare and biomedical datasets, for AI/ML
Models and Code to "Autoregressive Multi-hop Document Retrieval Guided by Natural Logic" (AdMIRaL), accepted to EMNLP2022.
A lightweight, agent-style framework for fact-checking atomic claims using iterative retrieval and verification. Reduces LLM and search cost while maintaining strong factuality performance.
An up-to-date Common Lisp bindings library to the most recent GLFW OpenGL context management library
The Python micro framework for building web applications.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Transform Unstructured Data into Synthetic Datasets
Generate embeddings right inside your browser | NomicEmbed | Try TinyLM