uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023 (by phlippe)
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. (by gordicaleksa)
| uvadlc_notebooks | get-started-with-JAX | |
|---|---|---|
| 2 | 3 | |
| 2,163 | 563 | |
| - | - | |
| 6.6 | 0.0 | |
| 17 days ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
uvadlc_notebooks
Posts with mentions or reviews of uvadlc_notebooks.
We have used some of these posts to build our list of alternatives
and similar projects.
-
I miss the old days where people asked me to recreate “Facebook” or “Twitter”
So, I don’t have anything simple that’s readily available, and I don’t know how much you’d get from the code itself without some background. But I would recommend the UVA Deep Learning tutorials. Particularly, I’d recommend trying the autoencoder as a good start (tutorial 9). Autoencoders are very easy and fast models to train.
-
[D] Favorite Colab Notebooks / runnable tutorials on adversarial CV
DL course from the University of Amsterdam:Github and Colab including another FGSM example
get-started-with-JAX
Posts with mentions or reviews of get-started-with-JAX.
We have used some of these posts to build our list of alternatives
and similar projects.
- How to stay up-to-date with the latest AI company announcements and events?
-
Tips to become self taught machine learning engineer
The AI Epiphany
-
Machine Learning with JAX - From Hero to HeroPro+ | Tutorial #2
Code: https://github.com/gordicaleksa/get-started-with-JAX
What are some alternatives?
When comparing uvadlc_notebooks and get-started-with-JAX you can also consider the following 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.
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.
hyper-nn - Easy Hypernetworks in Pytorch and Jax
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.