jax
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Deep Learning for humans
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Dec 18, 2025 - Python
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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Dec 18, 2025 - Python
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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Aug 18, 2024 - Python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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Dec 11, 2025
Convert Machine Learning Code Between Frameworks
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Oct 17, 2025 - Python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
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Dec 18, 2025 - Python
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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Nov 24, 2025 - Python
Trax — Deep Learning with Clear Code and Speed
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Sep 26, 2025 - Python
Flax is a neural network library for JAX that is designed for flexibility.
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Dec 16, 2025 - Jupyter Notebook
Python code for "Probabilistic Machine learning" book by Kevin Murphy
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Nov 30, 2025 - Jupyter Notebook
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.
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Aug 22, 2025
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
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Apr 3, 2024 - Jupyter Notebook
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
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Dec 5, 2025 - Python
Scenic: A Jax Library for Computer Vision Research and Beyond
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Dec 16, 2025 - Python
A library for scientific machine learning and physics-informed learning
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Dec 12, 2025 - Python
Training and serving large-scale neural networks with auto parallelization.
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Dec 9, 2023 - Python
JAX-based neural network library
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Dec 18, 2025 - Python
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
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Oct 31, 2025 - Jupyter Notebook
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
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Dec 17, 2025 - Python
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