12 Deep Learning packages and projects
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Pytorch
10.0 10.0 L3 PythonTensors and Dynamic neural networks in Python with strong GPU acceleration -
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MXNet
9.7 4.1 L1 C++DISCONTINUED. 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 9.8 PythonPretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes. -
Caffe2
9.3 0.0 Jupyter NotebookDISCONTINUED. Caffe2 is a lightweight, modular, and scalable deep learning framework. -
Theano
9.2 5.0 L1 PythonTheano 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 PythonDISCONTINUED. Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own! -
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Silero Models
7.7 4.7 Jupyter NotebookSilero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple -
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Spokestack
2.1 3.3 PythonDISCONTINUED. 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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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
