AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and supp…

Awesome paper list for physics of ai

Streamlit — A faster way to build and share data apps.

你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候，对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.

Muon is an optimizer for hidden layers in neural networks

DeepFaceLab is the leading software for creating deepfakes.

Understand what physics/algorithms do transformers learn internally when trained on planetary motion

Deterministic domain encoders with embedding-space arithmetic (IEEE-754 semantics)

VIGA: Vision-as-Inverse-Graphics Agent

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

The best ChatGPT that $100 can buy.

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)

SoTA Approach for ARC-AGI 2

The Abstraction and Reasoning Corpus

Hierarchical Reasoning Model Official Release

程序员延寿指南 | A programmer's guide to live longer

Python implementation of CMA-ES

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