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, ... 🧠

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anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language:PythonLicense:AGPL-3.0Stargazers:0Issues:1Issues:0

awesome-active-learning

A curated list of awesome Active Learning

License:CC0-1.0Stargazers:0Issues:0Issues:0

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

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Awesome-Anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

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awesome-foundation-and-multimodal-models

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code]

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Awesome-Incremental-Learning

Awesome Incremental Learning

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awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

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Awesome-Segment-Anything1

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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Awesome-Text-to-Image

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

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Awesome-Vision-Attentions

Summary of related papers on visual attention

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Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

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captum

Model interpretability and understanding for PyTorch

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Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

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EDA

Exploratory Data Analysis

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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

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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)

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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

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open_clip

An open source implementation of CLIP.

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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

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Sam_LoRA

Segment Your Ring (SYR) - Segment Anything model adapted with LoRA to segment rings.

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Self-Supervised_Learning_Papers-Code

Self-Supervised learning papers

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SOD-CNNs-based-code-summary-

The summary of code and paper for salient object detection with deep learning

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Surface-Defect-Detection-1

📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Transformer-in-Vision

Recent Transformer-based CV and related works.

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