daniel-satria's Stars
fmind/cookiecutter-mlops-package
Start building and deploying Python packages and Docker images for MLOps tasks.
NirDiamant/GenAI_Agents
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
scunning1975/mixtape
Data and Program files for Causal Inference: The Mixtape
jonasschmedtmann/complete-javascript-course
Starter files, final projects, and FAQ for my Complete JavaScript course
pedroeml/checkpoint-mobile-access-vpn
Linux setup to work with Check Point Mobile Access VPN.
KwaiVGI/LivePortrait
Bring portraits to life!
impira/docquery
An easy way to extract information from documents
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
duckdb/duckdb
DuckDB is an analytical in-process SQL database management system
nomic-ai/nomic
Interact, analyze and structure massive text, image, embedding, audio and video datasets
AgentOps-AI/tokencost
Easy token price estimates for 400+ LLMs. TokenOps.
facebookresearch/chameleon
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
bitterengsci/My-ebook
robmarkcole/yolov5-flask
Official implementation at https://github.com/ultralytics/yolov5/tree/master/utils/flask_rest_api
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
alexeygrigorev/data-science-interviews
Data science interview questions and answers
bcmi/DCI-VTON-Virtual-Try-On
[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.
justchenhao/STANet
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
THU-MIG/yolov10
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
usmanali414/Destruction-Detection-in-Satellite-Imagery
Detection of destruction in satellite imagery
BinaLab/RescueNet-A-High-Resolution-Post-Disaster-UAV-Dataset-for-Semantic-Segmentation
YudeWang/UNet-Satellite-Image-Segmentation
A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.
JenAlchimowicz/Semantic-segmentation-with-PyTorch-Satellite-Imagery
Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place
srimannarayanabaratam/land_cover_classification_unet
This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
ad-1/u-net-aerial-imagery-segmentation
Semantic Segmentation of MBRSC Aerial Imagery of Dubai Using a TensorFlow U-Net Model in Python