A example FastAPI PyTorch Model deploy with nvidia/cuda base docker.
The model used is trained for classification on Iris Flower Dataset, from this blog written by Nikolai Janakiev: https://janakiev.com/blog/pytorch-iris/
Detailed explaination can be found in this Medium article: https://medium.com/@mingc.me/deploying-pytorch-model-to-production-with-fastapi-in-cuda-supported-docker-c161cca68bb8
Temporal-Relational Cross-Transformers (TRX) This repo contains code for the method introduced in the paper: Temporal-Relational CrossTransformers for
DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos Algorithm Introduction DSFNet: Dynamic and Static Fusion Net
FSGNN Implementation of FSGNN. For more details, please refer to our paper Experiments were conducted with following setup: Pytorch: 1.6.0 Python: 3.8
Invasive_Plant_Species_Identification Used LiDAR Odometry and Mapping (LOAM) to create a 3D point cloud map which can be used to identify invasive pla
BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating
Polygon-Yolov5 This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes. Section I. Description The codes a
Acorn precision farming rover This is the software repository for Acorn, the precision farming rover by Twisted Fields. For more information see twist
PolyGlot, a fuzzing framework for language processors Build We tested PolyGlot on Ubuntu 18.04. Get the source code: git clone https://github.com/s3te
WaveBeat End-to-end beat and downbeat tracking in the time domain. | Paper | Code | Video | Slides | Setup First clone the repo. git clone https://git
🐦 pigeon - Quickly annotate data on Jupyter Pigeon is a simple widget that lets you quickly annotate a dataset of unlabeled examples from the comfort
CartoonGAN-Test-Pytorch-Torch Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]. With the released pretrained models by the authors,
Approximate Multiplier by HEAM What's HEAM? HEAM is a general optimization method to generate high-efficiency approximate multipliers for specific app
Bayesian Optimization over Permutation Spaces This repository contains the source code and the resources related to the paper "Bayesian Optimization o
Home Install Documentation Slack Invite Cray Labs SmartSim SmartSim makes it easier to use common Machine Learning (ML) libraries like PyTorch and Ten
github_project This is a project for medical image segmentation. This project includes common medical image segmentation models such as U-net, FCN, De
Table of Contents The general idea How these scripts work? Loading data Needed modules and global variables Parsing the arrays in dataset Extracting a
TextFooler A Model for Natural Language Attack on Text Classification and Inference This is the source code for the paper: Jin, Di, et al. "Is BERT Re
DTI-Sprites Pytorch implementation of "Unsupervised Layered Image Decomposition into Object Prototypes" paper Check out our paper and webpage for deta
RobustFreqCNN About This repository contains the implementation of the paper "Towards Frequency-Based Explanation for Robust CNN" arxiv. It primarly d
Time-Optimal Planning for Quadrotor Waypoint Flight This is an example implementation of the paper "Time-Optimal Planning for Quadrotor Waypoint Fligh
83 Dec 12, 2022
39 Dec 16, 2022
19 Dec 05, 2022
2 May 12, 2022
29 Dec 02, 2022
226 Jan 05, 2023
198 Jan 02, 2023
79 Dec 27, 2022
60 Dec 24, 2022
647 Jan 05, 2023
642 Dec 27, 2022
4 Sep 11, 2022
9 Dec 23, 2022
139 Jan 01, 2023
2 Mar 30, 2022
4 Oct 21, 2022
418 Dec 16, 2022
40 Dec 22, 2022
2 Jan 23, 2022
38 Dec 02, 2022