fangzy97

PMMs

Prototype Mixture Models for Few-shot Semantic Segmentation

MM-Net

BAM

Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR'22 Oral & TPAMI'23).

GroupRCNN

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

deep-learning-for-image-processing

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

transformers

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

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

DynamicRouting

Learning Dynamic Routing for Semantic Segmentation

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

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, ... 🧠

Capsule

A Capsule Implement with Pure Keras

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

LogicStack-LeetCode

公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

Feature-Weighting-and-Boosting

This is the unofficially official implementation of the paper "Feature Weighting and Boosting for Few-Shot Segmentation"

torchstat

Model analyzer in PyTorch

echarts

AI-job-interview

AI算法岗面试经验汇总

DGPNet

Dense Gaussian Processes for Few-Shot Segmentation

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

ICCV2023-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

SEM

SEM

TS-CAM

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

TPN-pytorch

Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

ASGNet

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

mmdetection

OpenMMLab Detection Toolbox and Benchmark

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

JavaLibrary

本藏馆主要珍藏Java体系核心技术书籍：涵盖Java核心基石（Java核心技术，并发编程，JVM）Java助辅要员（设计模式，linux内核，TCP/IP协议，Netty，Tomcat，Mysql） 上古单体架构 分布式朝代 微服务纪元 云原生前沿 架构演进 自动化运维

PFENet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).