lhyciomp's repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-active-learning
A curated list of awesome Active Learning
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
awesome-foundation-and-multimodal-models
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code]
Awesome-Incremental-Learning
Awesome Incremental Learning
awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
Awesome-Segment-Anything1
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Awesome-Text-to-Image
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
Awesome-Vision-Attentions
Summary of related papers on visual attention
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
captum
Model interpretability and understanding for PyTorch
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
EDA
Exploratory Data Analysis
Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
KBQA-for-Diagnosis
Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统
open_clip
An open source implementation of CLIP.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Sam_LoRA
Segment Your Ring (SYR) - Segment Anything model adapted with LoRA to segment rings.
Self-Supervised_Learning_Papers-Code
Self-Supervised learning papers
SOD-CNNs-based-code-summary-
The summary of code and paper for salient object detection with deep learning
Surface-Defect-Detection-1
📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
tensorflow
An Open Source Machine Learning Framework for Everyone
Transformer-in-Vision
Recent Transformer-based CV and related works.