|2 days ago||about 1 month ago|
|GNU General Public License v3.0 or later||Apache License 2.0|
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.
[D] GPU buying recommendation
1 project | reddit.com/r/MachineLearning | 17 Jul 2021
If you just want to run tensorflow or pytorch for a Jupyter notebook, setting the environment shouldn't be difficult. I know that AWS has a marketplace of preconfigured images. However, you can go as advanced as setting up a cluster of gpu-equipped nodes to setup Horovod (https://github.com/horovod/horovod) to do distributed machine learning. Yes, there's a learning curve, but you cannot acquire this skillet any other way.
SKLean, TensorFlow, etc vs Spark ML?
1 project | reddit.com/r/apachespark | 12 Feb 2021
I'm the maintainer for an open source project called Horovod that allows you to distribute deep learning training (e.g., TensorFlow) on platforms like Spark.
Cluster machine learning
1 project | reddit.com/r/HPC | 11 Feb 2021
You'll want to use horovod to run keras in a distributed system. Then use Slurm to manage the cluster and run the job.
What are some alternatives?
DeepDanbooru - AI based multi-label girl image classification system, implemented by using TensorFlow.
NudeNet - Neural Nets for Nudity Detection and Censoring
onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras
jina - Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)