本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A collection of various deep learning architectures, models, and tips

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

this repository accompanies the book "Grokking Deep Learning"

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

3D U-Net model for volumetric semantic segmentation written in pytorch

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

python数据可视化之美

我的强化学习笔记和学习材料:book: still updating ... ...

深度学习的实战项目

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

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

OpenCV激光十字识别， 识别端点还有交叉点。