10

8

6

4

2


10.0

10.0

9.9
0.0

9.7

4.1

9.6

9.9

9.3
0.0

9.2

5.0

12 Deep Learning packages and projects

  • Pytorch

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

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

    9.6 9.9 Python
    Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
  • Caffe2

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

    7.9 8.8 Python
    Probabilistic time series modeling in Python
  • Silero Models

    7.6 4.7 Jupyter Notebook
    Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
  • Porcupine  

    7.2 9.2 Python
    On-device wake word detection powered by deep learning
  • neptune-client

    3.6 9.6 Python
    :ledger: The MLOps stack component for experiment tracking
  • 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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