Lists (32)
Adversarial Robustness
AI for Medicine
AI4Science
Autonomous Driving
ChatGPT Tools
CLIP on Point Cloud
Diffusion Models
Embodied AI
EMO-NAS
Evolutionary Multi-objective Optimization for Neural Architecture SearchEvolutionary Computation
Few-Shot
Few-shot Point Cloud
Flow Matching
FSAD
Few-Shot Anomaly DetectionGnenerative Models
LLM
Manifolds
Medical Image
Meta-learning
ML and Deep ML Courses
NCO
Neural Combinatorial OptimizationNon-Euclidean SWD
Non-Euclidean Sliced wasserstein DistanceNOT
Neural Optimal TransportOT
Optimal TransportPoint Cloud
Probabilistic Machine Learning
Reference Code
Remote Sensing
SB
Schrödinger BridgeSWD
Sliced Wasserstein DistanceTSWD
Tree Sliced Wsserstein DistanceVisualization Code
Stars
Segment Anything in Medical Images
Deep Learning Papers on Medical Image Analysis
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
Linearized Partial Gromov Wasserstein
EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Re…
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
[CVPR 2025] Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
[Actively Maintained] A list of Embodied AI papers accepted by top conferences papers (ICLR, NeurIPS, ICML, RSS, CoRL, ICRA, IROS, CVPR, ICCV, ECCV).
Official code for the ICLR2025 paper "GOAT: Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport"
This repo is all you need for doing research in LLMs and VLMs integrated with autonomous driving. The papers are organized in different sections based on the topics they cover.
This repository is your all-in-one resource for 3D LLM-based autonomous driving research.
[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving
My learning notes/codes for ML SYS.
This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!
Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-contex…
Collections of Papers and Projects for Multimodal Reasoning.
Paper list for Efficient Reasoning.
This repository contains the implementation for the paper "Revisiting Few Shot Object Detection with Vision-Language Models"
[ICLR 2025 Spotlight] Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A repo lists papers related to LLM based agent
🧑🚀 全世界最好的LLM资料总结（视频生成、Agent、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.