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18 search results found
Tensorwatch
⭐
3,333
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Kafka Streams Machine Learning Examples
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806
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
Onyx
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354
An android library that uses technologies like artificial Intelligence, machine learning, and deep learning to make developers understand the content that they are displaying in their app.
Actionvlad
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201
ActionVLAD for video action classification (CVPR 2017)
Mariana
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151
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
Kafka Ml
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131
Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)
Dokai
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95
Collection of Docker images for ML/DL and video processing projects
Tensorflow Serving Java Grpc Kafka Streams
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85
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
Deep River
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79
Posebox Reid
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67
A two-stream Re-id CNN network
Ksql Fork With Deep Learning Function
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58
Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
Two Stream Action Recognition
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47
My re-implementation of two stream action recognition
Action.sr_cnn
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36
code for Two-Stream SR-CNNs for Action Recognition in Videos 2016
Onlinedetector
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22
Online Object Detection System Based On Deep Learning
My Very Deep Caffe
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21
This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.
Automated
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19
[IJCNLP 2017 - Accepted] Multi-tasking deep learning framework that achieves state-of-the-art results in sentiment analysis, topic prediction, and hashtag recommendation.
Temporal Augmentation
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17
Temporal augmentation with two-stream ConvNet features on human action recognition
Mediapipe_plus
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16
The purpose of this project is to apply mediapipe to more AI chips.
Georgecloney
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12
DeepClone, Serialize, DeSerialize extensions useful for testing
Sst
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11
My implementation (PyTorch) for the paper SST: Single-Stream Temporal Action Proposals (http://vision.stanford.edu/pdf/buch2017cvpr.pdf).
Eyenet2
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10
ACCV 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
Adlstream
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7
Asynchronous dual-pipeline deep learning framework for online data stream mining
Deepsrq
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6
Blind quality assessment for image superresolution using deep two-stream convolutional networks, published in Information Sciences 2020
Cdt Ccm Aae
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6
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
Keras_models
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5
Deep Nets written using the Keras framework.
Online Action Recognition
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5
Implementation of CNN-Based Model for Online Action Recognition
Real Time Object Detection With Opencv
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5
This project aims to do real-time object detection through a laptop cam using OpenCV. The idea is to loop over each frame of the video stream, detect objects, and bound each detection in a box.
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