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A Rust library for parsing Korean Hangul Word Processor (HWP) files with full layout rendering support
Hi, JAX! - A short introduction to JAX for deep learning researchers
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Simple implementation of Binary Black&White 2D image in "An analytic theory of creativity in convolutional diffusion models" paper with Feynman-Kac Diffusion Steering(Sequential Monte Carlo) Sampling
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
An extremely fast Python package and project manager, written in Rust.
Diffusion on syntax trees for program synthesis
A virtual world where Autonomous Systems from different Formula Student teams can compete in time-trial challenges
This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML)…
Multi-object image datasets with ground-truth segmentation masks and generative factors.
A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research. (Accepted at ICML 2025).
An open-source AI agent that brings the power of Gemini directly into your terminal.
KAIST educational Operating System (KeOS) for Operating Systems and Lab (CS330)
A snappy + easy + pretty TUI debugger for Python.
Continuous Thought Machines, because thought takes time and reasoning is a process.
League of Legends v4.20 RL Environment (LoLRLE)
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
world modeling challenge for humanoid robots
Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.