🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
APACHE-2.0 License
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
A curated list of awesome self-hosted GitHub Action runners in a large comparison matrix
Probabilistic time series modeling in Python
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Packaged version of ultralytics/yolov5 + many extra features
Lightweight tool to deploy PyTorch models to AWS Lambda
Open source library for running inference workload with Hugging Face Deep Learning Containers on ...
Library for automatic retraining and continual learning
Carefully curated resource links for data science in one place
A drop-in image optimization loader for Next.js image component powered by AWS Lambda.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-...
A curated collection of publicly available resources on how technology and tech-savvy organizatio...
The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, Py...
pwshBedrock is a PowerShell module designed to simplify interaction with Amazon Bedrock foundatio...
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/