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Towards Deep Generative Modeling With Weight & Biases
Ayush ThakurApr 14Intermediate, Computer Vision, GenAI, OCR, Keras, Experiment, Tutorial, GAN, Github, Panels, Plots, Sweeps, MNIST

Drought Watch Benchmark Progress
Stacey SvetlichnayaApr 11Intermediate, Computer Vision, Object Detection, Keras, Benchmark, Github, Plots, Sweeps

Distributed Training in tf.Keras With Weights & Biases
Sayak PaulApr 09Advanced, Domain Agnostic, Keras, Tutorial, MobileNet v2, Github, Plots, Distributed Training

Kaggle Starter Kernel: Jigsaw Multilingual Toxic Comment Classification
Sayak PaulApr 07Intermediate, NLP, Classification, scikit-learn, Tutorial, CNN, DistilBERT, Panels, Plots, Kaggle

Digging Into KITTI With Weights & Biases With PyTorch-Lightning Kitti
Boris DaymaMar 29Intermediate, Computer Vision, Object Detection, Semantic Segmentation, PyTorch Lightning, Experiment, Github, Plots, Sweeps, KITTI, Autonomous Vehicles

Visualizing and Debugging Neural Networks with PyTorch and Weights & Biases
Lavanya ShuklaMar 25Beginner, Domain Agnostic, Object Detection, PyTorch, Experiment, Panels, Plots, Sweeps, MNIST

Understanding State of the Art in Deep Learning: 3D Semantic Segmentation
Nicholas BardyFeb 22Intermediate, Computer Vision, 3D, Semantic Segmentation, Experiment, U-Net, Plots, ShapeNet

Track Model Performance with Weights & Biases
Lavanya ShuklaFeb 17Beginner, Domain Agnostic, scikit-learn, Tutorial, W&B Meta, Plots, Sweeps, Kaggle

Curriculum Learning in Nature Using the iNaturalist 2017 Dataset
Stacey SvetlichnayaFeb 08Intermediate, Computer Vision, Object Detection, Experiment, CNN, Plots, iNaturalist

Classify the Natural World with Weights & Biases
Stacey SvetlichnayaFeb 08Advanced, Computer Vision, Object Detection, Keras, Experiment, CNN, Plots, ImageNet, iNaturalist, Exemplary

Semantic Segmentation: The View from the Driver's Seat
Stacey SvetlichnayaFeb 06Advanced, Computer Vision, 3D, Object Detection, Semantic Segmentation, fastai, Experiment, CNN, ResNet, U-Net, Github, Panels, Plots, Slider, Sweeps, Berkeley Deep Drive, Autonomous Vehicles, Exemplary

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