Pinned Repositories
actorcutmix-v2
adaptive-human-tracking
archaeology-denoising
Archaeology Image Denoising
java-utils
Common array, matrix, and string utilities for Java.
neural-networks
Traditional neural networks as explained in the book "Fundamentals of Neural Networks: Architecture, Algorithms, and Applications" by Laurene Fausett
objects365-downloader
sinta-scraper
Retrieves information from Sinta 3 (https://sinta3.kemdikbud.go.id) via scraping.
sinta2-scraper-OBSOLETE
Retrieves information from Sinta (https://sinta.kemdikbud.go.id) via scraping.
timer.py
Accurate and convenient timer for Python.
rendicahya's Repositories
rendicahya/sinta-scraper
Retrieves information from Sinta 3 (https://sinta3.kemdikbud.go.id) via scraping.
rendicahya/sinta2-scraper-OBSOLETE
Retrieves information from Sinta (https://sinta.kemdikbud.go.id) via scraping.
rendicahya/java-utils
Common array, matrix, and string utilities for Java.
rendicahya/neural-networks
Traditional neural networks as explained in the book "Fundamentals of Neural Networks: Architecture, Algorithms, and Applications" by Laurene Fausett
rendicahya/adaptive-human-tracking
rendicahya/buku-ekstraksi-ciri
rendicahya/convigure
Easy configuration for Python with dot notation.
rendicahya/csfilkom
rendicahya/database-utils-java
Database utility tools for Java.
rendicahya/filkom-attendance-checker
Chrome extension that checks FILKOM UB employee's attendance.
rendicahya/filkom-virtual-tour
rendicahya/image-processing-java
rendicahya/java-commons
rendicahya/java-swing-tools
Some tools and components for Java Swing.
rendicahya/line-operator-java
rendicahya/machine-learning-java
rendicahya/nas-auto-login
rendicahya/nitrite-demo
rendicahya/sinta-app
rendicahya/struktur-data
Implementasi struktur data pada mata kuliah Algoritma dan Struktur Data
rendicahya/sudoku-genius
rendicahya/ub-virtual-tour
rendicahya/UFO
Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”.
rendicahya/upt
Official PyTorch implementation for CVPR2022 paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"
rendicahya/yaml-helper