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My Python scripts to make high-quality figures for publications in top AI conferences and journals.
A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
[NeurIPS2025 Spotlight] CSBrain: Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching, ICML2025 (Spotlight)
[ECCV 2024 Oral] Code for paper: An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
This repository summarizes recent advances in the VLA + RL paradigm and provides a taxonomic classification of relevant works.
A list of awesome papers and resources of recommender system on large language model (LLM).
A curated list of awesome Helix editor resources, plugins, themes, and tools.
🔥 SpatialVLA: a spatial-enhanced vision-language-action model that is trained on 1.1 Million real robot episodes. Accepted at RSS 2025.
Vector (and Scalar) Quantization, in Pytorch
[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
A curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
This is the official implementation of ICML 2025 paper MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding.
DelinQu / SimplerEnv-OpenVLA
Forked from simpler-env/SimplerEnvEvaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo, and OpenVLA) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
STPath: A Generative Foundation Model for Integrating Spatial Transcriptomics and Whole Slide Images
🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
Official implementation of paper "Learning High-Order Relationships of Brain Regions" [ICML 2024]
Simulation platform for general-purpose robotics & embodied AI learning.
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.