Husein pet projects in here!
Generate resolution points using meshgrid and request each points to MySejahtera Hotspot API to get active cases in 1KM radius.
Use mysejahtera-density to generate hotspot polygons.
Use mysejahtera-density to generate hotspot polygons and do hotspot simulation for next 4 weeks if 0%, 25%, 50%, 75% and 90% vaccine efficiencies.
Haversine Ball Tree index DB to query based on distance (KM) from scratch using Golang.
An Unsupervised Graph-based Toolbox for Fraud Detection Introduction: UGFraud is an unsupervised graph-based fraud detection toolbox that integrates s
Code for KSDAgg: a KSD aggregated goodness-of-fit test This GitHub repository contains the code for the reproducible experiments presented in our pape
pytorch-a3c-mujoco Disclaimer: my implementation right now is unstable (you ca refer to the learning curve below), I'm not sure if it's my problems. A
DetCo: Unsupervised Contrastive Learning for Object Detection arxiv link News Sparse RCNN+DetCo improves from 45.0 AP to 46.5 AP(+1.5) with 3x+ms trai
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation This repository is the official implementation of CVPR 2021 paper:
Welcome to gplearn! gplearn implements Genetic Programming in Python, with a scikit-learn inspired and compatible API. While Genetic Programming (GP)
Neural Activation Coding This repository contains the code for the paper "Unsupervised Representation Learning via Neural Activation Coding" published
Artifact • Reproduce Bugs • Quick Start • Installation • Extend Tzer Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation This is the s
shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t
Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu
Neighbor Averaging over Relation Subgraphs (NARS) NARS is an algorithm for node classification on heterogeneous graphs, based on scalable neighbor ave
IDRLnet IDRLnet is a machine learning library on top of PyTorch. Use IDRLnet if you need a machine learning library that solves both forward and inver
PyTorch-Pose PyTorch-Pose is a PyTorch implementation of the general pipeline for 2D single human pose estimation. The aim is to provide the interface
Implémentation en pyhton de l'article Depixelizing pixel art de Johannes Kopf et Dani Lischinski
Car Parking Vacancy Tracker Using OpenCv I used basic image processing methods i
Simple Spectral Graph Convolutional Overview This repo contains an example implementation of the Simple Spectral Graph Convolutional (S^2GC) model. Th
Random Walk Graph Neural Networks This repository is the official implementation of Random Walk Graph Neural Networks. Requirements Code is written in
RSCD (BS-RSCD & JCD) Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes (CVPR2021) by Zhihang Zhong, Yinqiang Zheng, Imari Sato We co
Reproduce, Automate, Scale your data science. Welcome to Polyaxon, a platform for building, training, and monitoring large scale deep learning applica
Astrostatistics Davide Gerosa - [email protected] University of Mil
99 Dec 11, 2022
5 Dec 15, 2022
70 Dec 12, 2022
234 Dec 18, 2022
9 Nov 14, 2022
1.3k Jan 03, 2023
5 May 26, 2022
12 Dec 29, 2022
422 Jan 08, 2023
1 Jan 21, 2022
67 Dec 03, 2022
105 Dec 17, 2022
1.1k Dec 30, 2022
3 May 29, 2022
30 Dec 03, 2022
64 Dec 31, 2022
38 Jan 02, 2023
81 Dec 15, 2022
3.2k Dec 23, 2022
25 Jan 02, 2023