Stars
Understand what physics/algorithms do transformers learn internally when trained on planetary motion
Deterministic domain encoders with embedding-space arithmetic (IEEE-754 semantics)
An elegant PyTorch deep reinforcement learning library.
Language-annotated Abstraction and Reasoning Corpus
Public repository for "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning"
Reverse Engineering the Abstraction and Reasoning Corpus
Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge
This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"
A Python library for automatically solving Abstraction and Reasoning Corpus (ARC) challenges using Claude and object-centric modeling.
Domain Specific Language for the Abstraction and Reasoning Corpus
Latent Program Network (from the "Searching Latent Program Spaces" paper)
Hierarchical Reasoning Model Official Release
程序员延寿指南 | A programmer's guide to live longer
Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
This repo contains the code for the paper "Intuitive physics understanding emerges fromself-supervised pretraining on natural videos"
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
Physical laws underpin all existence, and harnessing them for generative modeling opens boundless possibilities for advancing science and shaping the future!
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
Noise Conditional Score Networks (NeurIPS 2019, Oral)
Implementation of Denoising Diffusion Probabilistic Model in Pytorch