AaspiralMoon

-Distributed-training

use kubernetes and horovod.it has three object detection models include pytorch-panet,mxnet-sniper and tensorflow2-yolov3.

advanced-markdown

Learn about advanced markdown techniques

ApproxDet

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

FairMOT

Microsoft-Rocket-Video-Analytics-Platform

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

pytorchTutorial

PyTorch Tutorials from my YouTube channel

video-analyzer-iot-edge-python

Azure Video Analyzer Edge Samples in Python

WiSeR_Cluster

Instructions on building, configuring and using the WiSeR cluster.

youtube-dl

Command-line program to download videos from YouTube.com and other video sites

AaspiralMoon/AdaScale

code for AdaScale MLSys'19 https://proceedings.mlsys.org/book/275.pdf

AaspiralMoon/-Distributed-training

use kubernetes and horovod.it has three object detection models include pytorch-panet,mxnet-sniper and tensorflow2-yolov3.

AaspiralMoon/awstream

Adaptive Wide-Area Streaming Analytics

AaspiralMoon/DeepCache

Cache design for CNN on mobile

AaspiralMoon/attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

AaspiralMoon/pytorch-pruning-2step

2-stage pruning to favor distributed inference (local device compute half of the model, upload the feature for further computing on stronger devices or cloud).

AaspiralMoon/Spherical-Convolution

AaspiralMoon/functional-zoo

PyTorch and Tensorflow functional model definitions

AaspiralMoon/Deep360Pilot-CVPR17

Official Implementation of CVPR 2017 Oral paper "Deep 360 Pilot: Learning a Deep Agent for Piloting through 360◦ Sports Videos"