get-started-with-JAX
TF_JAX_tutorials
| get-started-with-JAX | TF_JAX_tutorials | |
|---|---|---|
| 3 | 1 | |
| 558 | 258 | |
| - | - | |
| 0.0 | 0.0 | |
| 5 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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get-started-with-JAX
- How to stay up-to-date with the latest AI company announcements and events?
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Tips to become self taught machine learning engineer
The AI Epiphany
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Machine Learning with JAX - From Hero to HeroPro+ | Tutorial #2
Code: https://github.com/gordicaleksa/get-started-with-JAX
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?
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
awesome-jax - JAX - A curated list of resources https://github.com/google/jax
dynamax - State Space Models library in JAX
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
JustEnoughScalaForSpark - A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
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.
uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023