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README.md

Click the badges below to access the notebooks

🤝 Integrations with DL Frameworks

Notebook Link
PyTorch Open In Colab
Keras Open In Colab
JAX and Flax Open In Colab
PyTorch Lightning Open In Colab
PyTorch Geometric Open In Colab
PyTorch Profiler Open In Colab
TensorFlow Open In Colab
fastai Open In Colab
HuggingFace Open In Colab
spaCy v3 Open In Colab
YOLOv5 Open In Colab
Ultralytics Train Open In Colab
Ultralytics Inference Open In Colab
Ray/Tune Open In Colab
🤗 Diffusers Open In Colab
🧨 Diffusers Stable Diffusion XL 1.0 Text-to-Image Open In Colab
Controlling and Enhancing Stable Diffusion Prompts using Compel and 🧨 Diffusers Open In Colab
🧨 Dreambooth-Keras Train Open In Colab
🧨 Dreambooth-Keras Inference Open In Colab
Kaolin-Wisp Open In Colab
Super Gradients Open In Colab
🎸 Generating music with AudioCraft Open In Colab
🦄 Fine-tune a Torchvision Model with KerasCore
🦄 Fine-tune a Timm Model with KerasCore
🦄 Medical Image Classification Tutorial using MonAI and KerasCore
🩻 Brain tumor 3D segmentation with MONAI and Weights & Biases

🏋🏽‍♂️ W&B Features

Notebook Link
Intro to W&B Open In Colab
Logging Media Open In Colab
Configs in W&B Open In Colab
Saving Code Open In Colab
Interactive W&B Charts Inside Jupyter Open In Colab
Model/Data Versioning with Artifacts (PyTorch) Open In Colab
Model/Data Versioning with Artifacts (Keras) Open In Colab
Selecting Hyperparameters with Sweeps (PyTorch) Open In Colab
Selecting Hyperparameters with Sweeps (Keras) Open In Colab
Visualize Datasets and Predictions with Tables Open In Colab

✨ Other

Notebook Link
Scikit-Learn with W&B Open In Colab
XGBoost with W&B Open In Colab
LightGBM with W&B Open In Colab
StyleGAN-NADA with W&B Open In Colab
Cross Attention Control with Stable Diffusion and W&B Open In Colab
Fast Text-Conditional Image Generation and W&B
Learning Representations of 3D scenes using Kaolin-Wisp Open In Colab