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Introducing Serverless RL
Kyle Corbitt
Oct 08
Articles, Reinforcement Learning
Organizing registries in W&B Models
Nina Olding
Oct 16
Articles, Tutorial, Registry, W&B Meta, GenAI
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Get Started with TensorFlow Lite Examples Using Android Studio
Ivan Goncharov
Oct 09
Keras, Articles, TensorFlow Lite, Computer Vision, Beginner
Metric Learning for Image Search With Weights & Biases
Ayush Thakur
Oct 07
Intermediate, Computer Vision, Classification, Keras, Experiment, Conv2D, Panels, Plots, CIFAR10
Image Segmentation Using Keras and Weights & Biases
Ayush Thakur
Oct 06
Intermediate, Computer Vision, Semantic Segmentation, Keras, Experiment, Tutorial, U-Net, Panels, Plots, Sweeps
Track and Tune Your Reinforcement Learning Models With Weights & Biases
Yash Kotadia
Oct 02
Intermediate, Reinforcement Learning, Gaming, Experiment, Panels, Plots, Sweeps
The Evolution Of Mobile CNN Architectures
Carlo Lepelaars
Sep 29
Beginner, Domain Agnostic, Case Study, EfficientNet, Plots, Kaggle
Melanoma Detection Using Weights & Biases
Anshul Sharma
Sep 29
Intermediate, Computer Vision, Object Detection, Experiment, DenseNet, Panels, Plots, Kaggle, Health Care
An Interview With Miles Brundage From OpenAI
Krisha Mehta
Sep 23
Beginner, NLP, OpenAI, Case Study, GPT
Part 2: Deep Representations, a Way Towards Neural Style Transfer
Aritra Roy Gosthipaty, Devjyoti Chakraborty
Sep 22
Intermediate, Computer Vision, GenAI, Experiment, Research, CNN, Github, Panels, Plots, Slider, ImageNet
Part 1: Deep Representations, a Way Towards Neural Style Transfer
Aritra Roy Gosthipaty, Devjyoti Chakraborty
Sep 21
Intermediate, Computer Vision, GenAI, Experiment, Research, CNN, Github, Panels, Plots, Slider, ImageNet
Ray Tune: Distributed Hyperparameter Optimization at Scale
Ayush Chaurasia, Lavanya Shukla
Sep 20
Beginner, NLP, GenAI, Ray Tune, W&B Meta, DCGAN, Panels, Plots, Sweeps, MNIST, Image Generation
Modern Scalable Hyperparameter Tuning Methods With Weights & Biases
Ayush Chaurasia
Sep 20
Intermediate, NLP, OCR, Ray Tune, Experiment, DCGAN, Plots, Sweeps, MNIST
How to Train Your HuggingFace Models Twice As Fast
Michaël Benesty
Sep 18
Intermediate, NLP, HuggingFace, Experiment, BERT, Github, Plots, Sweeps
Distilling Knowledge in Neural Networks With Weights & Biases
Sayak Paul
Sep 18
Intermediate, Computer Vision, Classification, Keras, Tutorial, Panels, Plots, MNIST
Track Your Java Model's Performance With Weights & Biases
Justin Brooks
Sep 17
Beginner, Domain Agnostic, W&B Meta, Plots
Anomalous Data in Your Autonomous Data
Andrea
Sep 09
Articles, Autonomous Vehicles, Tutorial, Tables, Berkeley Deep Drive
Unsupervised Visual Representation Learning with SwAV
Ayush Thakur, Sayak Paul
Sep 04
Intermediate, Computer Vision, Classification, Research, ResNet, Github, Panels, Plots
Tips for Kagglers From A Solo Silver Medal Winner
Aman Dalmia
Aug 31
Intermediate, Computer Vision, Classification, PyTorch, Tutorial, Panels, Plots, Sweeps, Kaggle, Health Care
Part 2 – Comparing Message-Passing-Based GNN Architectures
Yash Kotadia
Aug 28
Intermediate, Domain Agnostic, Classification, PyTorch, Experiment, Tutorial, GNN, Sweeps
An Introduction to Adversarial Examples in Deep Learning
Sayak Paul
Aug 23
Intermediate, Computer Vision, Domain Agnostic, PyTorch, Tutorial, GAN, Github, Panels, Plots
Part 1 – Introduction to Graph Neural Networks With GatedGCN
Yash Kotadia
Aug 19
Intermediate, Domain Agnostic, Tutorial, GNN, Plots, PATTERN
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