|2 days ago||9 days ago|
|GNU General Public License v3.0 or later||GNU General Public License v3.0 or later|
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.
I created a way to learn machine learning through Jupyter
2 projects | reddit.com/r/learnmachinelearning | 30 Apr 2021
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
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
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
ssd_keras - A Keras port of Single Shot MultiBox Detector
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.
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
ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language