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3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程，几乎涵盖了Java后端必备的知识点

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

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, ... 🧠

auto-review-generator

自动读取本地pdf文献并提取标题、作者、摘要和结论生成综述。Read and translate English literature to generate review automatically.

awesome-fine-grained-visual-classification

Awesome Fine-grained Visual Classification

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

awesome-learning-mvs

📑 A list of awesome learning-based multi-view stereo papers

c_uart_interface_example

Simple MAVLink to UART interface example for *nix systems

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

draem

gcp

I will mark what I learned in Google cloud platform

head-pose-estimation

Head pose estimation by TensorFlow and OpenCV

hello-world

just a repository

image-processing-from-scratch

This project contains some interesting image processing algorithms that were wrote in python from scratch.

json-tutorial

从零开始的 JSON 库教程

lhy_dl_hw

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

metatransformer

Meta-Transformer for Unified Multimodal Learning

ml-notes

notes about machine learning

nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

pytorch_eco

PyTorch reimplementation of ECO: Efficient Convolutional Network for Online Video Understanding

replknet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch