tflite-golang-gan-example VS tensorflow

Compare tflite-golang-gan-example vs tensorflow and see what are their differences.

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
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
tflite-golang-gan-example tensorflow
1 223
10 182,857
- 0.6%
0.0 10.0
about 3 years ago about 10 hours ago
C C++
- 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.

tflite-golang-gan-example

Posts with mentions or reviews of tflite-golang-gan-example. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-05.
  • Machine learning with GOlang
    6 projects | /r/golang | 5 Apr 2021
    Yeah its pretty unofficial and unsupported. Honestly, I am not sure why they even include it on the tensorflow.org site. If you want to serve stuff via golang it's honestly better to just use cgo and wrap tflite. TF Lite C bindings are pretty stable and if you are using Go then you probably don't have CUDA support anyway. I have hacked together a really basic example https://derekg.github.io/tflite.html and https://github.com/derekg/tflite-golang-gan-example of Golang + TF Lite for serving.

tensorflow

Posts with mentions or reviews of tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-29.

What are some alternatives?

When comparing tflite-golang-gan-example and tensorflow you can also consider the following projects:

go-featureprocessing - 🔥 Fast, simple sklearn-like feature processing for Go

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

leaves - pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

nett - A short and sweet neural network library.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

go-ml-benchmarks - ⏱ Benchmarks of machine learning inference for Go

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

scikit-learn - scikit-learn: machine learning in Python

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

xgboost - 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, Dask, Flink and DataFlow

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.