YAO-EE

YAO-EE's Stars

• WeixiongLin/PMC-CLIP

  The official codes for "PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents"

  Language:Python20713

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook5.5k896

• wangshusen/RecommenderSystem

  3k431

• zhongqiangwu960812/AI-RecommenderSystem

  该仓库尝试整理推荐系统领域的一些经典算法模型

  Language:Jupyter Notebook1.9k401

• zhjohnchan/M3AE

  [MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

  Language:Python12212

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java111k13.9k

• LuChengTHU/dpm-solver

  Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

  Language:Python1.7k125

• Thanos-DB/Pixelsmith

  [NeurIPS 2024] Official implementation of "Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models."

  Language:Jupyter Notebook524

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook15.6k3.7k

• JeongJiHeon/ScoreDiffusionModel

  The Pytorch Tutorial of Score-based and Diffusion Model

  Language:Jupyter Notebook32436

• yangqy1110/Diffusion-Models

  扩散模型原理和pytorch代码实现初学资料汇总

  Language:Jupyter Notebook68255

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python7.1k641

• tossowski/MultimodalPromptRetrieval

  Language:Python14

• huggingface/diffusion-models-class

  Materials for the Hugging Face Diffusion Models Course

  Language:Jupyter Notebook4k436

• ecoxial2007/FGRW_MedVQA

  Fine-Grained Knowledge Fusion for Retrieval-Augmented Medical Visual Question

  Language:Python71

• ecoxial2007/MedCLIP

  Medical image captioning using OpenAI's CLIP

  2

• haifangong/CMSA-MTPT-4-MedicalVQA

  [ICMR'21, Best Poster Paper Award] Medical Visual Question Answering with Multi-task Pre-training and Cross-modal Self-attention

  Language:Python342

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.6k971

• abachaa/VQA-Med-2019

  Visual Question Answering in the Medical Domain VQA-Med 2019

  8523

• douzujun/Deep-Learning-Coursera

  吴恩达深度学习课程课后编程作业

  Language:Jupyter Notebook17074

• MILVLG/openvqa

  A lightweight, scalable, and general framework for visual question answering research

  Language:Python32264

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python142k28.5k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python31.1k8.2k

• ljpzzz/machinelearning

  My blogs and code for machine learning. http://cnblogs.com/pinard

  Language:Jupyter Notebook8.5k3.7k

• pengfeiliHEU/MUMC

  This repository is made for the paper: Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

  Language:Python423

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python7.2k1.2k

• sergiotasconmorales/locvqa

  Localized questions for VQA

  Language:Python11

• facebookresearch/ParlAI

  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

  Language:Python10.5k2.1k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python59.7k6k

• lalithjets/Surgical_VQA

  Surgical Visual Question Answering. A transformer-based surgical VQA model. Offical Implementation of "Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformers", MICCAI 2022.

  Language:Python4911