Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
albumentations
fast image augmentation library and easy to use wrapper around other libraries
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
ApiTest
awesome-face
😎 face releated algorithm, dataset and paper
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
deep_learning_object_detection
A paper list of object detection using deep learning.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
deeplearning-models
A collection of various deep learning architectures, models, and tips
Learning-DL
huangsiyuzhoujie's Repositories
huangsiyuzhoujie/10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
huangsiyuzhoujie/albumentations
fast image augmentation library and easy to use wrapper around other libraries
huangsiyuzhoujie/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
huangsiyuzhoujie/ApiTest
huangsiyuzhoujie/awesome-face
😎 face releated algorithm, dataset and paper
huangsiyuzhoujie/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
huangsiyuzhoujie/deep_learning_object_detection
A paper list of object detection using deep learning.
huangsiyuzhoujie/deeplearning-models
A collection of various deep learning architectures, models, and tips
huangsiyuzhoujie/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
huangsiyuzhoujie/Face_Pytorch
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
huangsiyuzhoujie/files
huangsiyuzhoujie/huangsiyuzhoujie.github.io
huangsiyuzhoujie/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
huangsiyuzhoujie/imgaug
Image augmentation for machine learning experiments.
huangsiyuzhoujie/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
huangsiyuzhoujie/ml-mastery-zh
:book: [译] MachineLearningMastery 博客文章
huangsiyuzhoujie/mmdetection
Open MMLab Detection Toolbox and Benchmark
huangsiyuzhoujie/model-optimization
A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
huangsiyuzhoujie/models
Models and examples built with TensorFlow
huangsiyuzhoujie/pyre-check
Performant type-checking for python.
huangsiyuzhoujie/PySnooper
Never use print for debugging again
huangsiyuzhoujie/Python
All Algorithms implemented in Python
huangsiyuzhoujie/python-cheatsheet
Comprehensive Python Cheatsheet
huangsiyuzhoujie/QNNPACK
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
huangsiyuzhoujie/SeetaFace2
SeetaFace 2
huangsiyuzhoujie/test-platform
huangsiyuzhoujie/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
huangsiyuzhoujie/torchcv
A PyTorch-Based Framework for Deep Learning in Computer Vision
huangsiyuzhoujie/Virgilio
Your new Mentor for Data Science E-Learning.
huangsiyuzhoujie/YOLOv3-model-pruning
对 YOLOv3 做模型剪枝（network slimming），对于 oxford hand 数据集（因项目需要），模型剪枝后的参数量减少 80%，Infer 的速度达到原来 2 倍，mAP 基本不变