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MLOps Tutorial Series
How to create an automatic model training & testing setup using GitHub Actions and Continuous Machine Learning (CML).
ci-cd ml-ops production github-actions
Model Serving using FastAPI and Streamlit
Simple example of usage of streamlit and FastAPI for ML model serving.
fastapi streamlit deeplabv3 semantic-segmentation
Carefree-learn
A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch.
automl tabular pytorch tabular-data
Synthesizing High-Resolution Images with StyleGAN2
Developed by NVIDIA Researchers, StyleGAN2 yields state-of-the-art results in data-driven unconditional generative image modeling.
generative-adversarial-networks stylegan stylegan2 nvidia
Self-Supervised Scene De-occlusion
We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...
self-supervised-learning computer-vision de-occlusion image-generation
How to Deploy your ML models as Telegram Bots
In this project, I trained a Model to detect mask on people's face and made it available on both Android and IOS through a Telegram Bot. It's deployed on ...
deep-learning fastai telegram-bot heroku
Libra
An ergonomic machine learning API designed for non-technical users.
automl libra machine-learning code
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