mlg
Prediction Service
A decentralized CNN classification service that distributes pre-trained models across a network of provider nodes and collects predictions in real-time.
mlg: A decentralized CNN classification service based on Golem.
2 stars
1 watching
0 forks
Language: Python
last commit: almost 3 years ago
Linked from 1 awesome list
cnngolemkeras
Related projects:
Repository | Description | Stars |
---|---|---|
minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,853 |
nixtla/mlforecast | A Python library for scalable machine learning-based time series forecasting with efficient feature engineering and out-of-the-box compatibility. | 899 |
songtianyi/go-mxnet-predictor | A Go library providing a direct interface to MXNet's C API for deep learning inference | 55 |
mhjabreel/stf-rnn | Recurrent neural network model for predicting people's next location based on spatial and temporal features | 28 |
mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
zygmuntz/kaggle-cifar | Code for training and predicting on the CIFAR-10 image classification dataset using CUDA-convnet architecture. | 44 |
muhanzhang/dgcnn | A deep learning architecture for graph classification that extracts vertex features through propagation-based graph convolution and retains more node information than traditional sum pooling methods. | 174 |
benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 208 |
benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 268 |
zygmuntz/kaggle-bestbuy_small | An entry in a mobile recommendation system competition where teams are challenged to predict sales of Best Buy products based on customer data and product features. | 6 |
mllam/neural-lam | A software framework for training and evaluating neural networks for weather prediction in specific geographic areas. | 116 |
linkedin/photon-ml | A machine learning library built on top of Apache Spark for scalable and flexible regression modeling | 792 |
zfturbo/keras-mask-rcnn-for-open-images-2019-instance-segmentation | Provides pre-trained Mask R-CNN models and example code for instance segmentation on the Open Images Dataset | 56 |
oval-group/mlogger | A lightweight logger for machine learning experiments | 127 |