ygsq-123's Stars
labmlai/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, ... 🧠
marktext/marktext
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
Awesome-Windows/Awesome
:computer: 🎉 An awesome & curated list of best applications and tools for Windows.
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
iamseancheney/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
scipy-lectures/scientific-python-lectures
Tutorial material on the scientific Python ecosystem
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
curiousily/Getting-Things-Done-with-Pytorch
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 Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
szza/LearningNote
C++和Linux学习笔记
zhengjingwei/machine-learning-interview
算法工程师-机器学习面试题总结
trekhleb/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
maxjcohen/transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
kahowang/sensor-fusion-for-localization-and-mapping
深蓝学院 多传感器定位融合第四期 学习笔记
miluluyo/cute-cnblogs
可爱的博客园样式美化、自定义博客园样式
halostorm/PCAT_open_source
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
RobRomijnders/LSTM_tsc
An LSTM for time-series classification
summertime-wu/make_cnblogs_better
博客园样式美化、自定义博客园样式
HuangCongQing/deeplearning.ai-note
网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接
evgo2017/typora-theme-orange-heart
A Typora Theme - 一个 Typora 主题
Hannah-Zhou/Optimization_Algorithm
非线性优化主要算法的Matlab程序，有精确线搜索的0.618法和抛物线法, 非精确线搜索的Armijo准则, 最速下降法, 牛顿法, 共轭梯度法, BFGS 算法, DFP 算法, Broyden 族方法, 信赖域方法, 求解非线性最小二乘问题的L-M算法, 解约束优化问题的乘子法, 求解二次规划的有效集法, SQP 子问题的光滑牛顿法以及求解约束优化问题的SQP方法等. 程序基本通用.
trucleduc/PointGrid
CPones/PointNet-with-ModleNet40
基于深度学习的3D点云数据处理——开上之作PointNet模型【Pytorch版】
SunQilin/lstm_matlab
A matlab version of lng short term memory
y2kmz/pointnetv2
pointnet代码，升级至适用于TF2.1和python3.7，加入大量用于学习的注释。
HuangCongQing/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。