Wu-Zongyu's Stars
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
cumulo-autumn/StreamDiffusion
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
WooooDyy/LLM-Agent-Paper-List
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.
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
luosiallen/latent-consistency-model
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
MLNLP-World/Paper-Writing-Tips
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
opendilab/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
jingyi0000/VLM_survey
Collection of AWESOME vision-language models for vision tasks
stanford-crfm/helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).
microsoft/LLaVA-Med
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
ThuCCSLab/Awesome-LM-SSP
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
AIoT-MLSys-Lab/Efficient-LLMs-Survey
[TMLR 2024] Efficient Large Language Models: A Survey
hutaiHang/Faster-Diffusion
[NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"
mingze-yuan/Awesome-LLM-Healthcare
The paper list of the review on LLMs in medicine - "Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review".
CurryTang/Awesome_Graph_Foundation_Models
Accompanied repositories for our paper Graph foundation model
KaiHe-CatOwner/LLM-for-Healthcare
TrustAGI-Lab/UDAGCN
Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
Wu-Zongyu/LLM-and-Multimodal-Paper-List
A paper list about large language models and multimodal models (Diffusion, VLM). From foundations to applications. It is only used to record papers for my personal needs.
baoyujing/HDMI
Wu-Zongyu/Awesome-Transfer-Learning-on-Graph
A curated paper list about transfer learning (mainly domain adaption) on graphs. Graph transfer learning (Graph domain adaption).
anasuamitra/ssdcm
This is the official code-repository of the paper Semi-Supervised Deep Learning for Multiplex Networks published in KDD'21.
PKUterran/MuSDAC
Multi-Space Domain Adaptive Classification