IBM / MAX-Sports-Video-Classifier
Categorize sports videos according to which sport the video depicts.
☆23Updated 2 years ago
Alternatives and similar repositories for MAX-Sports-Video-Classifier:
Users that are interested in MAX-Sports-Video-Classifier are comparing it to the libraries listed below
- Generate English-language text similar to the news articles in the One Billion Words data set.☆26Updated last year
- Train a neural network component that can add spatial transformations such as translation and rotation to larger models.☆10Updated 6 years ago
- Image classifier for physical places/locations, based on the Places365-CNN Model☆41Updated last year
- Public tutorials and code that accompanies articles☆40Updated 6 years ago
- IBM Code Model Asset Exchange: Show and Tell Image Caption Generator☆84Updated last year
- Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX☆47Updated 7 years ago
- TASS Facenet uses Siamese Neural Networks and Triplet Loss to classify known and unknown faces by calculating distances between images, a…☆11Updated 6 years ago
- Simple demonstration of how to build a complex real time machine learning visualization tool.☆16Updated 9 years ago
- Protect communications with adversarial neural cryptography.☆12Updated 6 years ago
- Identify objects in images using a third-generation deep residual network.☆27Updated last year
- Use Kafka and Apache Spark streaming to perform click stream analytics☆76Updated 5 years ago
- This is the code for "PyTorch Coding Challenge LIVE" By Siraj Raval on Youtube☆34Updated 6 years ago
- Use Watson Studio and PyTorch to create a machine learning model to recognize hand-written digits☆23Updated 2 years ago
- Examples of Image Segmentation with Mask R-CNN from PyImageConf 2018☆45Updated 6 years ago
- Model management example using Polyaxon, Argo and Seldon☆23Updated 6 years ago
- A Tutorial for Serving Tensorflow Models using Kubernetes☆87Updated last month
- Deep Learning to Describe Clothing by Semantic Attributes☆60Updated 8 years ago
- Identify objects in images using a first-generation deep residual network.☆14Updated 2 years ago
- GraphPipe for python☆41Updated 6 years ago
- The GeniSys TASS Devices & Applications use Siamese Neural Networks and Triplet Loss to classify known and unknown faces.☆18Updated 6 years ago
- ☆27Updated 7 years ago
- [UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.☆16Updated 6 years ago
- GNES Hub ship AI/ML models as Docker containers and use Docker containers as plugins.☆34Updated 5 years ago
- Video Summarization using Statistics and Machine Learning☆31Updated 7 years ago
- Solution to the Kaggle's competition Google Cloud & YouTube-8M Video Understanding Challenge☆32Updated 7 years ago
- Implementing -- Histogram of oriented gradients / Support Vector Machine / TensorFlow☆12Updated 8 years ago
- 2nd place solution to Kaggle's Cdiscount image classification challange.☆18Updated 7 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☆37Updated 6 years ago
- Python package that can be installed to make it easier to create MAX models☆27Updated 3 years ago
- This is a POC to run Deep Learning techniques for images (vehicles) classification in a local computer with limited data☆17Updated 8 years ago