IBM / MAX-Spatial-Transformer-NetworkLinks
Train a neural network component that can add spatial transformations such as translation and rotation to larger models.
☆10Updated 6 years ago
Alternatives and similar repositories for MAX-Spatial-Transformer-Network
Users that are interested in MAX-Spatial-Transformer-Network are comparing it to the libraries listed below
Sorting:
- Protect communications with adversarial neural cryptography.☆11Updated 7 years ago
- Identify objects in images using a third-generation deep residual network.☆27Updated 2 months ago
- Categorize sports videos according to which sport the video depicts.☆23Updated 2 months ago
- NIPS 2017 AI Systems Workshop☆21Updated 7 years ago
- Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on K…☆692Updated 2 months ago
- Identify objects in images using a first-generation deep residual network.☆15Updated 2 months ago
- MxNet to ONNX Exporter☆56Updated 7 years ago
- A Tutorial for Serving Tensorflow Models using Kubernetes☆88Updated last month
- Deep Learning Benchmarking Suite☆130Updated 2 years ago
- A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based system…☆392Updated last year
- This repo contains ancillary information used to assist users of IBM Watson Machine Learning Community Edition. This repo will contain H…☆56Updated 3 years ago
- Distributed TensorFlow Examples for O'Reilly☆45Updated 7 years ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆172Updated 4 years ago
- Apache SystemDS Website☆21Updated 6 months ago
- ☆56Updated 5 years ago
- The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format☆39Updated 7 years ago
- Google Landmark Recognition Challenge Kaggle Competition☆18Updated 7 years ago
- Dockerfiles and scripts for ONNX container images☆138Updated 3 years ago
- [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support☆288Updated 2 years ago
- Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …☆56Updated 3 years ago
- Running Mask-RCNN on Dask with PyTorch☆27Updated 6 years ago
- Python package that can be installed to make it easier to create MAX models☆27Updated 4 years ago
- Incubating project for xgboost operator☆77Updated 4 years ago
- Creation of REST API for TensorFlow models hosted by TensorFlow Serving☆104Updated 7 years ago
- Build an example image classifier using Google Open Images V4☆32Updated last month
- MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single…☆66Updated 6 years ago
- How to build convolutional neural networks from scratch w/ Tensorflow☆86Updated 7 years ago
- Tutorials for Horovod☆85Updated 4 years ago
- ☆118Updated 2 years ago
- A Keras implementation of YOLOv3 (TensorFlow backend), which I used to train an object detector for the Kaggle 2018 "Google AI Open Image…☆10Updated 6 years ago