d2l-en VS ssd_keras

Compare d2l-en vs ssd_keras 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)
Our great sponsors
  • Nanos - Run Linux Software Faster and Safer than Linux with Unikernels
  • Scout APM - A developer's best friend. Try free for 14-days
  • SaaSHub - Software Alternatives and Reviews
d2l-en ssd_keras
1 2
11,569 1,765
2.3% -
9.8 0.0
9 days ago 10 months ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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.

ssd_keras

Posts with mentions or reviews of ssd_keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.

What are some alternatives?

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

zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

a-PyTorch-Tutorial-to-Object-Detection - SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

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

cppflow - Run TensorFlow models in C++ without installation and without Bazel

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

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

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

TF-Watcher - Monitor your ML jobs on mobile devices๐Ÿ“ฑ, 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.

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT ๐Ÿš€

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