|over 1 year ago||6 days ago|
|Apache License 2.0||GNU General Public License v3.0 or later|
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Tegin huvitava avastuse. Google translate tõlkides automaatselt määrab meie ilma soota asesõnad inglise keeles sooliseks olenevalt sellest, mis ametinimetust lauses kasutad.
1 project | reddit.com/r/Eesti | 5 Feb 2021
Treenimiseks antakse masinale (https://github.com/google/seq2seq) väga palju tõlkepaare sisse, kui need tõlkepaarid ongi tänapäevasest stereotüüpsest maailmast siis väga midagi sinna parata ei saa. Keegi teadlikult vähemalt seda masinat stereotüüpseks ei teinud.
[D] PyTorch Distributed Training Libraries: What are the current options?
3 projects | reddit.com/r/MachineLearning | 7 Dec 2021
Check out Horovod - https://github.com/horovod/horovod
[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?
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
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.
pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
mpi4jax - Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:
nsfw_model - Keras model of NSFW detector
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
qkeras - QKeras: a quantization deep learning library for Tensorflow Keras
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.