10

8

6

4

2


10.0

10.0
Pytorch

9.7

4.1
MXNet

7.2

9.1
Porcupine  

3.6

9.6
neptune-client

9.2

5.0
Theano

8.6
0.0
Serpent.AI

12 Deep Learning packages and projects

  • Pytorch

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

  • MXNet

    9.7 4.1 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

    • The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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  • Porcupine  

    7.2 9.1 Python
    On-device wake word detection powered by deep learning

  • neptune-client

    3.6 9.6 Python
    📘 The MLOps stack component for experiment tracking

  • Theano

    9.2 5.0 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 PyTensor: www.github.com/pymc-devs/pytensor

  • Serpent.AI

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

  • Caffe

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

  • Caffe2

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

  • 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.

  • Silero Models

    7.7 4.7 Jupyter Notebook
    Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

  • lightning

    9.6 9.9 Python
    Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

  • GluonTS

    7.8 8.8 Python
    Probabilistic time series modeling in Python
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