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.
Ranked by Attention Score: stars gained over the last 180 complete days
23 repositories by Attention Score · May 7, 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
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.
:zap: A Fast, Extensible Progress Bar for Python and CLI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
100-Days-Of-ML-Code中文版
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
一款入门级的人脸、视频、文字检测以及识别的项目.
AutoML library for deep learning
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Pretrained model hub for Keras 3.
Deep neural network to extract intelligent information from invoice documents.
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.
Deep Reinforcement Learning for Keras.
MLBox is a powerful Automated Machine Learning python library.
Graph Neural Networks with Keras and Tensorflow 2.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Hyperparameter Experiments with TensorFlow and Keras
Neural networks toolbox focused on medical image analysis
kapre: Keras Audio Preprocessors
QKeras: a quantization deep learning library for Tensorflow Keras
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Distributed Deep learning with Keras & Spark