99-ML-Learning-Projects VS d2l-en

Compare 99-ML-Learning-Projects vs d2l-en and see what are their differences.


A list of 99 machine learning projects for anyone interested to learn from coding and building projects (by gimseng)


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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99-ML-Learning-Projects d2l-en
1 3
216 12,134
- 4.7%
0.0 9.8
4 months ago 5 days ago
Jupyter Notebook Python
MIT License 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.


Posts with mentions or reviews of 99-ML-Learning-Projects. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-30.


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.

What are some alternatives?

When comparing 99-ML-Learning-Projects and d2l-en 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".

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

ssd_keras - A Keras port of Single Shot MultiBox Detector

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

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

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.

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

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.

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

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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