d2l-en VS imbalanced-regression

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

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d2l-en imbalanced-regression
6 1
22,504 780
2.3% -
7.2 1.8
12 days ago over 2 years ago
Python Python
GNU General Public License v3.0 or later 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.

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.

imbalanced-regression

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

What are some alternatives?

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

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

autogluon - Fast and Accurate ML in 3 Lines of Code

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

pneumonia_detection - Pneumonia Detection using machine learning - with PyTorch

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

healthsea - Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

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

multi-domain-imbalance - [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

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.

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

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Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured

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