Deeplearning CfnDistributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow
FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
NetronVisualizer for neural network, deep learning, and machine learning models
Bmxnet V2BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
Thinc🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
XferTransfer Learning library for Deep Neural Networks.
ImgclsmobSandbox for training deep learning networks
Mx Lsoftmaxmxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.
CoachReinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
MobulaopA Simple & Flexible Cross Framework Operators Toolkit
Deep Learning ContainersAWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Pyecopython implementation of efficient convolution operators for tracking
Gluon TsProbabilistic time series modeling in Python
DjlAn Engine-Agnostic Deep Learning Framework in Java
Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
NasNeural architecture search(NAS)
FacerecognitionThis is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
Single Path One Shot Nas MxnetSingle Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.
HorovodDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Deep Face AlignmentThe MXNet Implementation of Stacked Hourglass and Stacked SAT for Robust 2D and 3D Face Alignment
Mxnet.sharp.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
IvyThe templated deep learning framework, enabling framework-agnostic functions, layers and libraries.
OnnxOpen standard for machine learning interoperability
Rnn TransducerMXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks
Mxnet FinetunerAn all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.
D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Mxnet Im2rec tutorialthis simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet
Sagemaker Python SdkA library for training and deploying machine learning models on Amazon SageMaker
Mixupmixup: Beyond Empirical Risk Minimization
MxfusionModular Probabilistic Programming on MXNet
NgraphnGraph has moved to OpenVINO
InsightfaceState-of-the-art 2D and 3D Face Analysis Project
Gluon2pytorchGluon to PyTorch deep neural network model converter
Mtcnnface detection and alignment with mtcnn
Go Mxnet Predictor go binding for mxnet c_predict_api to do inference with pre-trained model