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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Python Build Tools
  5. SAM 3D vs XGBoost

SAM 3D vs XGBoost

OverviewComparisonAlternatives

Overview

XGBoost
XGBoost
Stacks192
Followers86
Votes0
GitHub Stars27.6K
Forks8.8K
SAM 3D
SAM 3D
Stacks0
Followers0
Votes1

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Detailed Comparison

XGBoost
XGBoost
SAM 3D
SAM 3D

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Meta's SAM 3D brings human-level 3D perception to computer vision. Reconstruct objects and bodies from single images with unprecedented accuracy and speed.

Flexible; Portable; Multiple Languages; Battle-tested
sam 3d, Nano Banana Pro, Pricing
Statistics
GitHub Stars
27.6K
GitHub Stars
-
GitHub Forks
8.8K
GitHub Forks
-
Stacks
192
Stacks
0
Followers
86
Followers
0
Votes
0
Votes
1
Integrations
Python
Python
C++
C++
Java
Java
Scala
Scala
Julia
Julia
No integrations available

What are some alternatives to XGBoost, SAM 3D?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Google Cloud Vision API

Google Cloud Vision API

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

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