rubythalib33
AI Fullstack Engineer | Full time freelancer | AI, Data and IT solution enthusiast | Consultant | Teacher
Pinned Repositories
3D-Torchvision
3D torchvision with ImageNet Pretrained
dataset-translator
EfficientStreamOD
image-compression-folder
Implementation-of-Microservices-and-Clean-Architecture-using-kubernetes-and-kafka
learn-nlp
Sekolah-AI-Indonesia
Repo for every course that I made on youtube
telelogs
telelogs is a package to send log message on you telegram if something happened on a server, e.g your training is done, update CI/CD and manymore
thesis-Multi-Friendly-Secret-Image-Sharing-MFSIS-
my Thesis for my last year in my university
VectorDB
rubythalib33's Repositories
rubythalib33/image-compression-folder
rubythalib33/VectorDB
rubythalib33/Implementation-of-Microservices-and-Clean-Architecture-using-kubernetes-and-kafka
rubythalib33/machine-learning-hub
rubythalib33/facenet-knowledge-distillation
rubythalib33/MLMobileSDK
rubythalib33/pyvectordb
rubythalib33/stream_management
rubythalib33/EfficientStreamOD
rubythalib33/aidsistant-smartquery.js
rubythalib33/alphabet-100B
rubythalib33/custom_nlp_datasets
rubythalib33/data-analytics-dashboard
rubythalib33/KitNET-py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
rubythalib33/Kitsune-py
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET) (Using PCapy instead of scapy)
rubythalib33/ml-uitls
rubythalib33/mlflow-with-github
rubythalib33/pelatihan-docker-kubernetes
rubythalib33/Portofolio
rubythalib33/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rubythalib33/RAG
rubythalib33/rubythalib33
rubythalib33/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
rubythalib33/streamlit-uncertainty
rubythalib33/streamlit_demo
rubythalib33/Text-classification-annotation-tool
rubythalib33/timelaps-creator
rubythalib33/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
rubythalib33/yolov3-utils
rubythalib33/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors