Pinned Repositories
data-distribution
DM-Count
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
docker-postgis
Docker image for PostGIS
edgetpu
Source code for the Edge TPU API library
gcloud-java
Google Cloud Client Library for Java
geotrellis-ingest-example
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Kubeflow-TAO-Pipeline
mega.pytorch
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
rpi-trailcam
tbeatty's Repositories
tbeatty/data-distribution
tbeatty/rpi-trailcam
tbeatty/DM-Count
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
tbeatty/docker-postgis
Docker image for PostGIS
tbeatty/edgetpu
Source code for the Edge TPU API library
tbeatty/gcloud-java
Google Cloud Client Library for Java
tbeatty/geotrellis-ingest-example
tbeatty/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
tbeatty/Kubeflow-TAO-Pipeline
tbeatty/mega.pytorch
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
tbeatty/mx-index
tbeatty/mx-ocr
tbeatty/mx-thumbnail
tbeatty/mx-tools
tbeatty/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
tbeatty/Scaled-YOLOv4-TensorRT
Got 100fps on TX2. Got 500fps on GeForce GTX 1660 Ti. If the project is useful to you, please Star it.
tbeatty/ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
tbeatty/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
tbeatty/TensorRT-support-for-Tensorflow-2-Object-Detection-Models
tbeatty/TimeSformer-pytorch
Implementation of TimeSformer, a pure attention-based solution for video classification
tbeatty/vidaug
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
tbeatty/YOWO
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization