Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with any underlying model, including neural networks.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

Entropy Based Sampling and Parallel CoT Decoding

A modern alternative to ls

Code for "Learning Graph Cellular Automata" (NeurIPS 2021).

💎 my dotfiles

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classificati…

PyTorch tutorials and best practices.

Evolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).

Hierarchical Reasoning Model Official Release

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

A playground for neuro-san

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

Pragmatic Category Theory for Beginners in OCaml with lots of real-world examples

GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.

RLHF (Supervised fine-tuning, reward model, and PPO) step-by-step in 3 Jupyter notebooks

A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm

GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)

Code for the Fractured Entangled Representation Hypothesis position paper!

Stanford-CS-Course

Muon is an optimizer for hidden layers in neural networks

This repository includes all my code implementations in algorithms and data structures from MIT's introduction to algorithms course on MIT OCW

A library for financial options pricing written in Python.

Run your GitHub Actions locally 🚀

Temporal service

📖 A collection of pure bash alternatives to external processes.

A patch for GNU Core Utilities cp, mv to add progress bars