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Top 12 Jupyter Notebook Jax Projects
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Project mention: Physic engine for 3D simulation: which one to use? | reddit.com/r/reinforcementlearning | 2022-10-08
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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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jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Project mention: CleanRL now has a DDPG + JAX implementation roughly 2.5-4x faster than DDPG + PyTorch | reddit.com/r/reinforcementlearning | 2022-07-12https://github.com/ikostrikov/jaxrl would be another great reference implementation. Probably you want to also checkout the docs for jax, flax, and optax.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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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.
Project mention: Tips to become self taught machine learning engineer | reddit.com/r/learnmachinelearning | 2022-08-04The AI Epiphany
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If you can write your system in discrete time (e.g. by using forward Euler) you could use pretty straightforwardly a library like https://github.com/probml/dynamax to estimate your unknown parameters given some measured data.
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Project mention: From Deep Learning Foundations to Stable Diffusion | news.ycombinator.com | 2022-09-16
This year's Deep Learning Indaba had a tutorial on diffusion models in Jax: https://github.com/deep-learning-indaba/indaba-pracs-2022/tr...
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Project mention: [P] hyper-nn: Easy Hypernetworks in Pytorch and Jax | reddit.com/r/MachineLearning | 2022-08-11
I’d like to share a project that I’ve been working on called hyper-nn, which gives users the ability to create easily customizable Hypernetworks for almost any torch.nn.Module and flax.linen.Module.
Jupyter Notebook Jax related posts
- Physic engine for 3D simulation: which one to use?
- Tips to become self taught machine learning engineer
- Jax-CFD: Computational Fluid Dynamics in Jax
- Deep Learning Poised to ‘Blow Up’ Famed Fluid Equations
- AskScience AMA Series: We are seven leading scientists specializing in the intersection of machine learning and neuroscience, and we're working to democratize science education online. Ask Us Anything about computational neuroscience or science education!
- Deep learning for robotics
- [D] Advice on Hardware Setup for Robotics
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A note from our sponsor - SonarLint
www.sonarlint.org | 27 Jan 2023
Index
What are some of the best open-source Jax projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | pyprobml | 5,394 |
2 | neural-tangents | 1,933 |
3 | brax | 1,516 |
4 | score_sde | 768 |
5 | tensor-sensor | 708 |
6 | jaxrl | 414 |
7 | jax-cfd | 391 |
8 | get-started-with-JAX | 382 |
9 | dynamax | 331 |
10 | TF_JAX_tutorials | 236 |
11 | indaba-pracs-2022 | 156 |
12 | hyper-nn | 65 |