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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awesome-data-labeling

A curated list of awesome data labeling tools

aws-cdk

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

azure-mlops

clr

data-science--cheat-sheet

Cheat Sheets

deface

Video anonymization by face detection

depthai

DepthAI Python API utilities, examples, and tutorials.

depthai_blazepose

fooocus

Focus on prompting and generating

imageprocessing

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

langchain

🦜🔗 Build context-aware reasoning applications

llama

Inference code for LLaMA models

match_patterns_from_image

mixnmatch

Pytorch implementation of MixNMatch

mlops-zoomcamp

Free MLOps course from DataTalks.Club

nemo

NeMo: a toolkit for conversational AI

nlp_with_transformers

Jupyter notebooks for the Natural Language Processing with Transformers book

omnimatte

open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

pythoncode-tutorials

The Python Code Tutorials

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

stable-diffusion

Latent Text-to-Image Diffusion

stable-diffusion-webui

Stable Diffusion web UI

stable-diffusion-webui-feature-showcase

Feature showcase for stable-diffusion-webui

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io