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Introducing Serverless LoRA Inference
Nina Olding, Chander Matrubhutam
Nov 20
Articles, Inference, New W&B feature releases, Tutorial
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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
Towards Representation Learning for an Image Retrieval Task
Aritra Roy Gosthipaty, Souradip Chakraborty
Aug 07
Intermediate, Computer Vision, GenAI, Experiment, Panels, Plots, CIFAR10
How To Get Started With Numerai Using Weights & Biases
Carlo Lepelaars
Jul 28
Intermediate, NLP, Sentiment Analysis, PyTorch, Tutorial, Plots, Financial
Organize Your Machine Learning Pipelines With Artifacts in Weights & Biases
Ayush Chaurasia
Jul 27
Beginner, Computer Vision, Domain Agnostic, Object Detection, PyTorch, W&B Meta, YOLO, Github, Artifacts, Panels, Plots
Understanding the Effectivity of Ensembles in Deep Learning
Sayak Paul, Ayush Thakur
Jul 24
Intermediate, Computer Vision, Object Detection, PyTorch, Experiment, Research, CNN, ResNet, Github, Panels, Plots, CIFAR10
Measuring Mode Collapse in GANs Using Weights & Biases
Kevin Shen
Jul 23
Advanced, Computer Vision, GenAI, Research, GAN, Panels, Plots
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