📚 免费的计算机编程类中文书籍，欢迎投稿

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，50余万字。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

An intuitive library to add plotting functionality to scikit-learn objects.

Experimental code to read/write NumPy .NPY files in MATLAB

《统计学习方法》的代码实现

Automated Machine Learning with scikit-learn

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Notes on Scientific Computing for Biomechanics and Motor Control

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

Image restoration with neural networks but without learning.

Library for fast text representation and classification.