Deep Learning for humans
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Nov 12, 2026 - Python
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Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
python data-science machine-learning natural-language-processing reinforcement-learning computer-vision deep-learning mxnet book notebook tensorflow keras pytorch kaggle hyperparameter-optimization recommender-system gaussian-processes jax
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
python nlp data-science machine-learning deep-learning tensorflow scikit-learn keras ml data-visualization pytorch transformer data-analysis gpt automl jax data-visualizations gpt-3 chatgpt
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
ai ml torch pytorch attention deepmind claude sonnet jax gpt-5 anthropic claude-ai claude-sonnet looped-transformers claude-code claude-code-plugin claude-mythos gpt-7
Convert Machine Learning Code Between Frameworks
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
data-science machine-learning reinforcement-learning ai deep-learning tensorflow keras collaboration pytorch hyperparameter-optimization reproducibility hyperparameter-tuning data-versioning hyperparameter-search model-versioning jax mlops experiment-track ml-platform
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Trax — Deep Learning with Clear Code and Speed
machine-learning reinforcement-learning deep-learning numpy deep-reinforcement-learning transformer jax
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
python nlp computer-science machine-learning statistics reinforcement-learning computer-vision deep-learning math algorithms linear-algebra machine-learning-algorithms probability mathematics artificial-intelligence speech-processing multimodal-learning jax ai-textbook
Efficiently computes derivatives of NumPy code.
python machine-learning deep-learning neural-network numpy automatic-differentiation autograd scipy derivative backpropagation differentiation numpy-arrays jax ufunc
Flax is a neural network library for JAX that is designed for flexibility.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
machine-learning tensorflow pytorch colab pml probabilistic-programming flax jupyter-notebooks pymc3 pyro jax numpyro blackjax
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A library for scientific machine learning and physics-informed learning
deep-learning neural-network tensorflow pytorch operator pde paddle pinn jax scientific-machine-learning multi-fidelity-data physics-informed-learning deeponet
Mastering Diverse Domains through World Models
Scenic: A Jax Library for Computer Vision Research and Beyond
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