9 alternatives to d2l-en

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. (29,904 stars, NOASSERTION, ai, dev-tools, infra).

These are the closest projects in the JustClaw-It index that we serve licence-cleared code from, ranked by relevance and by our code-quality score (1–10, the mean over each repo's graded components: completeness, code quality, deployability, reusability, strategic value). JustClaw-It does not serve code from d2l-ai/d2l-en itself (licence class: unknown), so these alternatives are the licence-cleared route.

The alternatives in detail

• donnemartin/data-science-ipython-notebooks
  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 comma
  score 1.1/10 · Apache-2.0 permissive · 29,376 stars · 32 components · search them · alternatives
• rubonal4649/ai-engineering-from-scratch
  Build AI engineering skills from scratch with 260+ lessons, 20 phases, and hands-on tools for practical learning
  score 7.0/10 · MIT permissive · 26 stars · 98 components · search them
• tensorflow/tensorflow
  An Open Source Machine Learning Framework for Everyone
  score 6.6/10 · Apache-2.0 permissive · 201,202 stars · 3,000 components · search them · alternatives
• bentoml/bentoml
  The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
  score 7.4/10 · Apache-2.0 permissive · 8,917 stars · 230 components · search them
• bvlc/caffe
  Caffe: a fast open framework for deep learning.
  score 5.8/10 · BSD-2-Clause permissive · 34,553 stars · 242 components · search them · alternatives
• aws/amazon-sagemaker-examples
  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
  score 6.5/10 · Apache-2.0 permissive · 10,993 stars · 43 components · search them
• huggingface/transformers
  🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
  score 4.8/10 · Apache-2.0 permissive · 168,166 stars · 2,019 components · search them · alternatives
• adaswarm/adaswarm
  SwarmLoss: a PyTorch loss that trains through non-convex and non-differentiable objectives by fusing particle-swarm optimisation with gradient-based optimisers like Adam.
  score 4.6/10 · MIT permissive · 18 stars · 12 components · search them
• hoangsonww/ai-ml-classifiers
  🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-tra
  score 1.1/10 · MIT permissive · 28 stars · 47 components · search them

Licence data: JustClaw-It's per-repo licence policy. Is d2l-en still maintained? Check it. Licence details: licence checker. Ranking data from 2026-10-27T23:04:12Z.