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This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…
MLOps stack example using Airflow, MLflow and other popular tools.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Sample MLOps Workflow: Recognizing Digits with Kubeflow
A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
Exercises and supplementary material for the machine learning operations course at DTU.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Symbols classifications in Engineering Drawings (Multi-class imbalanced dataset)
An application to translate raster image of CAD drawing sheet to a user editable DXF format.
1st place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Statistics for Machine Learning, published by Packt
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Solutions to all quiz and all the programming assignments!!!
Lab materials for the Full Stack Deep Learning Course
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Automatic 2D-to-3D Video Conversion with CNNs
Image augmentation library in Python for machine learning.
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.