Tensors and Dynamic neural networks in Python with strong GPU acceleration

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Visualizer for neural network, deep learning and machine learning models

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Low-code framework for building custom LLMs, neural networks, and other AI models

28 eval-informed mental models and critical-thinking skills for Claude Code, GitHub Copilot, Codex, Cursor, and other Agent Skills-compatible tools

A scikit-learn compatible neural network library that wraps PyTorch

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Implement a reasoning LLM in PyTorch from scratch, step by step

Scalable and user friendly neural :brain: forecasting algorithms.