zjuchenlong

zjuchenlong's Stars

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.5k15864821

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  6.1k18016856

• yandexdataschool/Practical_RL

  A course in reinforcement learning in the wild

  Language:Jupyter Notebook5.9k2091861.7k

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB3.9k370524

• zhoubolei/introRL

  Intro to Reinforcement Learning (强化学习纲要）

  3.2k928487

• boyu-ai/Hands-on-RL

  https://hrl.boyuai.com/

  Language:Jupyter Notebook2.6k1791553

• Yutong-Zhou-cv/Awesome-Text-to-Image

  (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

  2.2k757189

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2k3585465

• ChenHsing/Awesome-Video-Diffusion-Models

  [CSUR] A Survey on Video Diffusion Models

  1.8k521591

• yunlong10/Awesome-LLMs-for-Video-Understanding

  🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

  1.6k46480

• ucla-rlcourse/RLexample

  Some basic examples of playing with RL

  Language:Python1.2k2010300

• qfettes/DeepRL-Tutorials

  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

  Language:Jupyter Notebook1.1k3010323

• tum-pbs/pbdl-book

  Welcome to the Physics-based Deep Learning Book (v0.2)

  Language:Jupyter Notebook1k2718157

• upb-lea/reinforcement_learning_course_materials

  Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

  Language:Jupyter Notebook9483115215

• zjunlp/KnowledgeEditingPapers

  Must-read Papers on Knowledge Editing for Large Language Models.

  92727860

• uncbiag/Awesome-Foundation-Models

  A curated list of foundation models for vision and language tasks

  85241137

• jianzongwu/Awesome-Open-Vocabulary

  (TPAMI 2024) A Survey on Open Vocabulary Learning

  847231349

• enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

  Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

  820453272

• Yangyi-Chen/Multimodal-AND-Large-Language-Models

  Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.

  54720536

• SiatMMLab/Awesome-Diffusion-Model-Based-Image-Editing-Methods

  Diffusion Model-Based Image Editing: A Survey (arXiv)

  48716732

• MCG-NKU/NSFC-LaTex

  Language:TeX28264125

• HKUST-LongGroup/Awesome-Open-Vocabulary-Detection-and-Segmentation

  Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

  104206

• Paranioar/UniPT

  [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"

  Language:Python64151

• HKUST-LongGroup/CoMM

  Official repository for CoMM Dataset

  Language:Python24310

• HKUST-LongGroup/RECODE

  [NeurIPS'2023] Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models

  Language:Python17222

• WenliangGuo/SCHEMA

  [ICLR 2024 Poster] SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos

  Language:Python14112

• HKUST-LongGroup/CFA

  [ICCV'2023] Compositional Feature Augmentation for Unbiased Scene Graph Generation

  Language:Jupyter Notebook13172

• HKBUNLP/Mr.Harm-EMNLP2023

  Code for our EMNLP 2023 paper - Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models

  Language:Python10232

• zmykevin/ACL2023_ChartT5

  The official code implementation of the ACL 2023 Finding paper: Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs

  Language:Python10101

• HKUST-KnowComp/MIND_Distillation

  Code and data for the paper: MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding (https://arxiv.org/pdf/2406.10701).

  Language:Python2101