Deep Learning for humans
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:zap: A Fast, Extensible Progress Bar for Python and CLI
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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, AWS, and various command lines.
100-Days-Of-ML-Code中文版
AutoML library for deep learning
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Graph Neural Networks with Keras and Tensorflow 2.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Pretrained model hub for Keras 3.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Neural networks toolbox focused on medical image analysis