10

8

6

4

2


9.9
0.0
Caffe

9.9

10.0
Pytorch

9.7

9.3
MXNet

9.3
1.1
Theano

9.3
0.0
Caffe2

8.6
0.0
Serpent.AI

10 Deep Learning packages and projects

  • Caffe

    9.9 0.0 L1 C++
    Caffe: a fast open framework for deep learning.

  • Pytorch

    9.9 10.0 L3 C++
    Tensors and Dynamic neural networks in Python with strong GPU acceleration

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  • MXNet

    9.7 9.3 L1 C++
    Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  • Theano

    9.3 1.1 L1 Python
    Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara

  • Caffe2

    9.3 0.0 Jupyter Notebook
    Caffe2 is a lightweight, modular, and scalable deep learning framework.

  • Serpent.AI

    8.6 0.0 Python
    Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

  • Porcupine  

    7.0 9.2 TypeScript
    On-device wake word detection powered by deep learning.

  • Silero Models

    6.8 8.2 Jupyter Notebook
    Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

  • neptune-client

    2.9 9.3 Python
    :ledger: Experiment tracking tool and model registry

  • Spokestack

    2.1 3.3 Python
    Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
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