🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
APACHE-2.0 License
Published by datitran almost 5 years ago
Carefully curated resource links for data science in one place
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-...
Probabilistic time series modeling in Python
A curated list of awesome self-hosted GitHub Action runners in a large comparison matrix
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Open source library for running inference workload with Hugging Face Deep Learning Containers on ...
Packaged version of ultralytics/yolov5 + many extra features
pwshBedrock is a PowerShell module designed to simplify interaction with Amazon Bedrock foundatio...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Library for automatic retraining and continual learning
A drop-in image optimization loader for Next.js image component powered by AWS Lambda.
The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, Py...
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Lightweight tool to deploy PyTorch models to AWS Lambda
A curated collection of publicly available resources on how technology and tech-savvy organizatio...