womenhenzhiliu

pointnet

PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Pyqt5_yolov5_unet_centernet

集yolov5、centernet、unet算法的pyqt5界面，可实现图片目标检测和语义分割

Yolo-FastestV2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

FastestDet

:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Yolo-Fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

MolCLR

Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.

Point-M2AE

[NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

yolov5-deepsort

Yolov5-deepsort-inference

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

Yolov5-Deepsort

最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集

unbox_yolov5_deepsort_counting

yolov5 deepsort 行人 车辆 跟踪 检测 计数

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

boxmot

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

PyQt5-YOLOv5

PyQt5 implementation of YOLOv5 GUI

MERIT

[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".

paper-reading

深度学习经典、新论文逐段精读

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, ... 🧠

Contrastive_Learning_Papers

A list of contrastive Learning papers

CrossPoint

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

WaveNet

Yet another WaveNet implementation in PyTorch.

IELTS

剑桥雅思

FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

Python-100-Days

Python - 100天从新手到大师