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Top 20 Jupyter Notebook Jax Projects
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Project mention: Flax: A neural network library and ecosystem for Jax designed for flexibility | news.ycombinator.com | 2025-12-15
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uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
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score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
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tensor-sensor
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
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get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
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jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
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jaxrenderer
Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrenderer/wiki; PR: https://github.com/google/brax/pull/367
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diajax
Dia-JAX: A JAX port of Dia, the text-to-speech model for generating realistic dialogue from text with emotion and tone control.
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spinq-vqe
VQE simulation of the Kagome antiferromagnet (Mn₃Sn) — HEA & MERA ansatze, entanglement entropy, ED benchmarks, SOC QAOA.
Project mention: Simulating Antiferromagnets with PennyLane: A Deep Dive into spinq-vqe | dev.to | 2026-06-25Quantum Machine Learning (QML) is rapidly moving from theoretical whitepapers into practical engineering pipelines. If you are curious about how quantum algorithms actually interface with material science, the newly open-sourced spinq-vqe repository from ARPA's QONDRA division is a perfect sandbox.
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trainable-qsp-angles
Reproducible QSP benchmark: gradient-learned phase angles on a JAX flat circuit vs mapped analytic solvers.
Project mention: You Can Now Train Quantum Signal Processing Phase Angles with Gradient Descent | dev.to | 2026-06-11A new paper and open‑source implementation (DOI: 10.5281/zenodo.20645403, github.com/rosspeili/trainable-qsp-angles) shows that you can learn QSP phase angles from random initialization using gradient descent – with no analytic pre‑computation.
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2026
Index
What are some of the best open-source Jax projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | flax | 7,261 |
| 2 | pyprobml | 7,106 |
| 3 | whisper-jax | 4,684 |
| 4 | brax | 3,202 |
| 5 | uvadlc_notebooks | 3,167 |
| 6 | score_sde | 1,828 |
| 7 | jax-cfd | 950 |
| 8 | tensor-sensor | 805 |
| 9 | get-started-with-JAX | 783 |
| 10 | jaxrl | 756 |
| 11 | felafax | 570 |
| 12 | TF_JAX_tutorials | 280 |
| 13 | indaba-pracs-2022 | 178 |
| 14 | hyper-nn | 106 |
| 15 | jaxrenderer | 79 |
| 16 | astronomix | 62 |
| 17 | diajax | 29 |
| 18 | forwardalgorithms | 10 |
| 19 | spinq-vqe | 4 |
| 20 | trainable-qsp-angles | 2 |