1.d2l-ai / d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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21 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Open standard for machine learning interoperability
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
:zap: A Fast, Extensible Progress Bar for Python and CLI
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
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
AutoML library for deep learning
一款入门级的人脸、视频、文字检测以及识别的项目.
Deep neural network to extract intelligent information from invoice documents.
Graph Neural Networks with Keras and Tensorflow 2.
Pretrained model hub for Keras 3.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Neural networks toolbox focused on medical image analysis
Deep Reinforcement Learning for Keras.
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Hyperparameter Experiments with TensorFlow and Keras
Keras community contributions
PyTorch to Keras model convertor
QKeras: a quantization deep learning library for Tensorflow Keras