13 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 -
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 9.7 PythonPretrain, finetune ANY AI model of ANY size 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
9.1 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! -
Silero Models
7.8 4.7 Jupyter NotebookSilero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple -
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. -
FastAPI MCP OpenAPI
0.3 7.7 PythonA FastAPI library that provides Model Context Protocol (MCP) tools for endpoint introspection and OpenAPI documentation. This library allows AI agents to discover and understand your FastAPI endpoints through MCP.
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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.