header only, dependency-free deep learning framework in C++14
- c-plus-plus
- deep-learning
- machine-learning
- neural-network
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header only, dependency-free deep learning framework in C++14
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
3D Computer Vision Framework
A Simple and Versatile Framework for Object Detection and Instance Recognition
An open-source framework for machine learning and other computations on decentralized data.
A modular active learning framework for Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
An open source library and framework for deep learning on satellite and aerial imagery.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
GoMLX: An Accelerated Machine Learning Framework For Go
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
Koç University deep learning framework.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Natural language processing framework for Ruby.
Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines
Deep Learning framework for Julia
Earth observation processing framework for machine learning in Python
Brian is a free, open source simulator for spiking neural networks.
NFStream: a Flexible Network Data Analysis Framework.
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
Computational framework for reinforcement learning in traffic control