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 7 complete days
22 repositories by Attention Score · Oct 27, 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.
Visualizer for neural network, deep learning and machine learning models
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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
Open standard for machine learning interoperability
:zap: A Fast, Extensible Progress Bar for Python and CLI
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A course in reinforcement learning in the wild
Graph Neural Networks with Keras and Tensorflow 2.
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.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
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
Pretrained model hub for Keras 3.
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.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Deep neural network to extract intelligent information from invoice documents.
A lightweight header-only library for using Keras (TensorFlow) models in C++.
PyTorch to Keras model convertor
QKeras: a quantization deep learning library for Tensorflow Keras
Neural networks toolbox focused on medical image analysis
Address book for computer vision models.