Build RL environments for LLM training

Claude Code skills based on The Minimalist Entrepreneur by Sahil Lavingia

Run OpenClaw more securely inside NVIDIA OpenShell with managed inference

Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.

[NeurIPS 2025] PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation

Real-Time Physical Action-Conditioned Video Generation

PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation (ECCV 2024)

GenEval: An object-focused framework for evaluating text-to-image alignment

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Minimalist RL for Diffusion LLMs with SOTA reasoning performance (89.1% GSM8K). Official implementation of "The Flexibility Trap".

Claude Code excalidraw skill

This repository contains the official implementation of Physical Parameter-Guided Diffusion (PgD), a framework for generating high-fidelity microbubble point spread functions (PSFs) under diverse u…

slime is an LLM post-training framework for RL Scaling.

Rediscover your social memories with local, AI-powered analysis. 本地化的聊天记录分析工具，通过 AI Agent 回顾你的社交记忆。

Enjoy the magic of Diffusion models!

WeDLM: The fastest diffusion language model with standard causal attention and native KV cache compatibility, delivering real speedups over vLLM-optimized baselines.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

A framework for efficient model inference with omni-modality models

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

PyTorch implementation of JiT https://arxiv.org/abs/2511.13720

Enable macOS HiDPI and have a native setting.

[NeurIPS 2025] Improving Video Generation with Human Feedback

PyTorch code and models for V-JEPA self-supervised learning from video.

This repo contains the code for the paper "Intuitive physics understanding emerges fromself-supervised pretraining on natural videos"

"AI-Trader: 100% Fully-Automated Trading Powered by Agent Swarm Intelligence"

[ICLR 2026] Official repo for paper "Video-As-Prompt: Unified Semantic Control for Video Generation"

This is the code repository for IntPhys 2, a video benchmark designed to evaluate the intuitive physics understanding of deep learning models.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.