10

8

6

4

2


9.9
0.0

9.9

10.0

9.7

8.9

9.3
0.0

9.3
0.0

8.6
0.0

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
  • InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
  • MXNet

    9.7 8.9 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 0.0 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 9.3 Python
    On-device wake word detection powered by deep learning
  • Silero Models

    6.9 7.4 Jupyter Notebook
    Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
  • neptune-client

    3.1 9.0 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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