Deep Learning for humans
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47,133 repositories indexed
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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.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
100-Days-Of-ML-Code中文版
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
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).
A lightweight header-only library for using Keras (TensorFlow) models in C++.
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