petastorm VS d2l-en

Compare petastorm vs d2l-en and see what are their differences.

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. (by uber)
Tensorflow Pytorch Deep Learning Machine Learning sysml Pyspark pyarrow Parquet parquet-files
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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. (by d2l-ai)
Deep Learning Machine Learning Book Notebook Computer Vision Natural Language Processing Python Kaggle Data Science Mxnet Pytorch Tensorflow Keras gaussian-processes hyperparameter-optimization recommender-system reinforcement-learning Jax
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d2l.ai
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petastorm d2l-en
2 6
1,743 21,564
1.1% 2.8%
3.7 8.7
5 months ago about 1 month ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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petastorm

Posts with mentions or reviews of petastorm. We have used some of these posts to build our list of alternatives and similar projects.

d2l-en

Posts with mentions or reviews of d2l-en. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-10.

What are some alternatives?

When comparing petastorm and d2l-en you can also consider the following projects:

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects

jina - ☁️ Build multimodal AI applications with cloud-native stack

imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

ssd_keras - A Keras port of Single Shot MultiBox Detector

petastorm vs horovod d2l-en vs Pytorch-UNet petastorm vs Activeloop Hub d2l-en vs DeepADoTS petastorm vs best-of-ml-python d2l-en vs TF-Watcher petastorm vs nni d2l-en vs 99-ML-Learning-Projects petastorm vs jina d2l-en vs imbalanced-regression petastorm vs wandb d2l-en vs ssd_keras