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Deep Q Networks (DQN) With the Cartpole Environment
Jari
Apr 15
Intermediate, Reinforcement Learning, Experiment, Tutorial, DQN, Panels, Plots, Sweeps
Towards Deep Generative Modeling With Weight & Biases
Ayush Thakur
Apr 14
Intermediate, Computer Vision, GenAI, OCR, Keras, Experiment, Tutorial, GAN, Github, Panels, Plots, Sweeps, MNIST
Drought Watch Benchmark Progress
Stacey Svetlichnaya
Apr 11
Intermediate, Computer Vision, Object Detection, Keras, Benchmark, Github, Plots, Sweeps
Distributed Training in tf.Keras With Weights & Biases
Sayak Paul
Apr 09
Advanced, Domain Agnostic, Keras, Tutorial, MobileNet v2, Github, Plots, Distributed Training
Kaggle Starter Kernel: Jigsaw Multilingual Toxic Comment Classification
Sayak Paul
Apr 07
Intermediate, NLP, Classification, scikit-learn, Tutorial, CNN, DistilBERT, Panels, Plots, Kaggle
Digging Into KITTI With Weights & Biases With PyTorch-Lightning Kitti
Boris Dayma
Mar 29
Intermediate, Computer Vision, Object Detection, Semantic Segmentation, PyTorch Lightning, Experiment, Github, Plots, Sweeps, KITTI, Autonomous Vehicles
What To Do When Inception-ResNet-V2 Is Too Slow
Stacey Svetlichnaya
Mar 28
Intermediate, Domain Agnostic, Keras, Experiment, Inception, ResNet, Plots
Visualizing and Debugging Neural Networks with PyTorch and Weights & Biases
Lavanya Shukla
Mar 25
Beginner, Domain Agnostic, Object Detection, PyTorch, Experiment, Panels, Plots, Sweeps, MNIST
Effects of Weight Initialization on Neural Networks
Lavanya Shukla
Mar 23
Beginner, Domain Agnostic, Keras, Experiment, Plots
Understanding State of the Art in Deep Learning: 3D Semantic Segmentation
Nicholas Bardy
Feb 22
Intermediate, Computer Vision, 3D, Semantic Segmentation, Experiment, U-Net, Plots, ShapeNet
Visualize Model Predictions with Weights & Biases
Lavanya Shukla
Feb 18
Beginner, Domain Agnostic, Tutorial, W&B Meta, Plots
Track Model Performance with Weights & Biases
Lavanya Shukla
Feb 17
Beginner, Domain Agnostic, scikit-learn, Tutorial, W&B Meta, Plots, Sweeps, Kaggle
Curriculum Learning in Nature Using the iNaturalist 2017 Dataset
Stacey Svetlichnaya
Feb 08
Intermediate, Computer Vision, Object Detection, Experiment, CNN, Plots, iNaturalist
Classify the Natural World with Weights & Biases
Stacey Svetlichnaya
Feb 08
Advanced, Computer Vision, Object Detection, Keras, Experiment, CNN, Plots, ImageNet, iNaturalist, Exemplary
fastText Nanobot for the Transformer Age
Stacey Svetlichnaya
Feb 07
Beginner, NLP, fasttext, Tutorial, Plots
Semantic Segmentation: The View from the Driver's Seat
Stacey Svetlichnaya
Feb 06
Advanced, Computer Vision, 3D, Object Detection, Semantic Segmentation, fastai, Experiment, CNN, ResNet, U-Net, Github, Panels, Plots, Slider, Sweeps, Berkeley Deep Drive, Autonomous Vehicles, Exemplary
Visualize Scikit-Learn Models with Weights & Biases
Lavanya Shukla
Jan 25
Beginner, Tabular, scikit-learn, Tutorial, W&B Meta, Plots
Under the Hood of Long Short Term Memory (LSTM)
Aritra Roy Gosthipaty
Jan 11
Intermediate, NLP, Experiment, RNN, Github, Plots, LSTM
Meaning and Noise in Hyperparameter Search with Weights & Biases
Stacey Svetlichnaya
Jan 10
Intermediate, Computer Vision, Object Detection, PyTorch, Experiment, RNN, Plots, Sweeps, MNIST
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