TensorFlow-Examples
TF_JAX_tutorials
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| TensorFlow-Examples | TF_JAX_tutorials | |
|---|---|---|
| 2 | 1 | |
| 43,210 | 258 | |
| - | - | |
| 0.0 | 0.0 | |
| 3 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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TensorFlow-Examples
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Keras vs. TensorFlow
A linear regression model
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Tensorman and RTX 30-Series GPU's
When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.
TF_JAX_tutorials
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JAX Tutorials [D]
Someone already gave the links https://github.com/AakashKumarNain/TF_JAX_tutorials
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.
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.
pyVHR - Python framework for Virtual Heart Rate
dynamax - State Space Models library in JAX
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.
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.
rmi - A learned index structure
uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023