Educational materials on deep learning by Weights & Biases

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

A concise grammar of interactive graphics, built on Vega.

A collection of infrastructure and tools for research in neural network interpretability.

High-level library to help with training neural networks in PyTorch

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Reproducible Data Science at Scale!

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

A Deep Learning based project for colorizing and restoring old images (and video!)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Kaggle Python docker image

Keras implementations of Generative Adversarial Networks.

Random forest for classification and regression.

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Example deep learning projects that use wandb's features.