d2l-en VS learning-topology-synthetic-data

Compare d2l-en vs learning-topology-synthetic-data and see what are their differences.

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. (by d2l-ai)
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d2l-en learning-topology-synthetic-data
3 5
12,134 22
4.7% -
9.8 7.4
7 days ago 4 months ago
Python Python
GNU General Public License v3.0 or later 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.
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 2021-04-30.

learning-topology-synthetic-data

Posts with mentions or reviews of learning-topology-synthetic-data. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-24.

What are some alternatives?

When comparing d2l-en and learning-topology-synthetic-data you can also consider the following projects:

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

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

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

ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

ssd_keras - A Keras port of Single Shot MultiBox Detector

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.

TF-Watcher - Monitor your ML jobs on mobile devicesπŸ“±, especially for Google Colab / Kaggle

einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

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

DeepCamera - AI Face Recognition/Person Detection NVR. Machine Learning On The Edge, turn your Camera into AI-powered with Jetson Nano and telegram to protect your privacy.

textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

kaggle-solutions - πŸ… Collection of Kaggle Solutions and Ideas πŸ…