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Training Semantic Segmentation Models for Autonomous Vehicles (A Step-by-Step Guide)
Soumik RakshitSep 20Articles, Intermediate, Autonomous Vehicles, Plots, Tables, Sweeps, Slider, Tutorial, Berkeley Deep Drive, Object Detection, Semantic Segmentation, YOLO

Modeling Drivable Areas for Autonomous Vehicles with Real and Synthetic Data
Ayush Thakur, Manan GoelSep 09Articles, Semantic Segmentation, Berkeley Deep Drive, Plots, Panels, Sweeps, Slider, Autonomous Vehicles, Experiment, Tutorial, Intermediate, U-Net

Finding the New ResNet18
Thomas CapelleJul 20ResNet, ConViT, TIMM, Experiment, Articles, Intermediate, Sweeps, Computer Vision

How to Build a Robust Medical Model Using Weights & Biases
Aman AroraFeb 17Intermediate, Computer Vision, Classification, PyTorch, Experiment, W&B Meta, Github, Artifacts, Panels, Plots, Sweeps, Tables, Kaggle, Health Care, Exemplary

Matrix Factorization from Scratch in JAX: Regularized SVD for Recommendation Systems
Bryan BischofFeb 07Advanced, Tabular, JAX, Experiment, Tutorial, Plots, Sweeps, MovieLens, Recommender Systems

Configuring W&B Projects with Hydra
Adrish DeyFeb 03Beginner, Computer Vision, Classification, Hydra, Tutorial, Panels, Sweeps, CIFAR10, MNIST

Instance Normalization in PyTorch (With Examples)
Saurav MaheshkarJan 11Beginner, Domain Agnostic, PyTorch, Tutorial, Conv2D, Plots, Sweeps, Tables, Normalization, Chum here

Group Normalization in Pytorch (With Examples)
Adrish DeyJan 03Beginner, Domain Agnostic, PyTorch, Tutorial, Conv2D, Plots, Sweeps, Normalization, Chum here

iTAML: An Incremental Task-Agnostic Meta-learning Approach
Joel JosephOct 15Intermediate, Computer Vision, Classification, Research, iTAML, Github, Panels, Plots, Sweeps, CIFAR-100, CIFAR10, MNIST, RC

Hyperparameter Optimization for HuggingFace Transformers
Ayush ChaurasiaSep 15Intermediate, NLP, HuggingFace, Ray Tune, Research, Tutorial, BERT, Sweeps, RTE, Large Models, LLM

Hyperparameter Search With spaCy and Weights & Biases
Scott CondronSep 08Intermediate, NLP, spaCy, Tutorial, W&B Meta, Parameter Importance, Sweeps, Chum here, Exemplary

How to Fine-Tune BERT for Text Classification
akshay uppalAug 20Intermediate, NLP, Classification, Tutorial, BERT, Panels, Plots, Sweeps, Tables, Kaggle, Exemplary, Large Models, LLM, Fine-tuning

Text Classification With AWS SageMaker, HuggingFace, and W&B
MorganAug 19Beginner, NLP, Language Understanding, HuggingFace, SageMaker, Experiment, Tutorial, Github, Artifacts, Panels, Plots, Sweeps, Tables, Financial

Meta Dropout: Learning to Perturb Latent Features for Better Generalization
Joel JosephAug 12Intermediate, Computer Vision, Classification, Research, Github, Panels, Plots, Sweeps, ImageNet, Omniglot, RC

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