Stars
PAIR.withgoogle.com and friend's work on interpretability methods
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of Large Language Model (LLM) Interpretability resources.
This repository collects all relevant resources about interpretability in LLMs
Training Sparse Autoencoders on Language Models
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Slides, notes, and materials for the workshop
A library for mechanistic interpretability of GPT-style language models
Mechanistic Interpretability Visualizations using React
System design patterns for machine learning
Grokking the System Design Interview Course
A Scala API for Apache Beam and Google Cloud Dataflow.
Apache Spark - A unified analytics engine for large-scale data processing
Coarse-grained lineage and tracing for machine learning pipelines.
KSOPS - A Flexible Kustomize Plugin for SOPS Encrypted Resources
Repository which periodically scrapes covid availability using github actions.