Open Source Alternatives
Open source alternatives to Caffe
Open source alternatives to Caffe, ranked by GitHub stars and freshness.
9 open-source alternatives in the index, ranked by GitHub stars and freshness.
TensorFlow
Community
An Open Source Machine Learning Framework for Everyone
Best for: Teams building production ML systems that need cross-platform deployment and performance optimization
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Best for: ML researchers and engineers building custom neural network architectures with GPU training needs
PaddlePaddle
Community
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）
Best for: Teams building large-scale production ML systems who need distributed training and cross-platform deployment out of the box
NCNN
Community
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Best for: Mobile and embedded developers building latency-critical inference applications on constrained hardware
Apache MXNet
Community
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Best for: Teams building distributed training pipelines or mobile ML applications who need multi-language flexibility
Oneflow
Community
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Best for: Developers who need a high-performance, scalable deep learning framework and are comfortable with C++
TNN
Community
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding featur
Best for: Developers needing optimized deep learning inference specifically on mobile devices, especially within Tencent ecosystem integrations.
VectorFlow
Community
A minimalist neural network library optimized for sparse data and single machine environments.
Best for: Developers building lightweight neural network models for observability on a single machine
Forward
Community
A library for high performance deep learning inference on NVIDIA GPUs.
Best for: Developers needing high performance deep learning inference on NVIDIA GPUs in C++ environments