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Run LLM evaluations right in the W&B Weave UI
Chander Matrubhutam
Sep 11
Articles, GenAI, Evaluations
Tracking and optimizing agentic workflows using W&B Weave and NVIDIA NeMo Agent Toolkit
Ayush Thakur
Sep 23
Articles, Evaluations, Agents, GenAI
The Microsoft Agent Framework: Observability
Brett Young
Oct 01
Articles, Agents, LLM, GenAI
Make evaluations count: Comparing AI application evaluation results using W&B Weave
Russell Ratshin
Oct 02
Articles, GenAI, Tutorial, Evaluations, Agents
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English
Fine-Grained Image Classification (FGIC) with B-CNNs
Rajesh Shreedhar Bhat, Souradip Chakraborty
Jun 10
Intermediate, Computer Vision, Classification, PyTorch, Experiment, B-CNN, Panels, Plots, Slider, Kaggle
How to Implement the Softmax Function in Python
Krisha Samir Mehta
Jun 10
Beginner, Domain Agnostic, Classification, PyTorch, Tutorial, Panels, Plots, Softmax
Offline Reinforcement Learning with Collaborative Datasets
Mandi Zhao
Jun 10
Advanced, Reinforcement Learning, Experiment, Artifacts, Panels, Plots
The Reality Behind the Optimization of Imaginary Variables
Darshan Deshpande
Jun 08
Advanced, Domain Agnostic, Guide, Research
Hosted Tensorboard
Robert Mitson
Jun 07
W&B Meta
Introducing Bag of Words: The W&B Newsletter
Justin Tenuto
Jun 07
Beginner, Domain Agnostic, W&B Meta
Recurrent Neural Networks for Text Generation
Robert Mitson
Jun 05
Text Generation
Data Science Experiments Management with Weights & Biases
BroutonLab team
Jun 04
Beginner, Domain Agnostic, Case Study, W&B Meta, Artifacts, Custom Charts, Panels, Plots, Sweeps, MNIST
A Gentle Introduction To Weight Initialization for Neural Networks
Saurav Maheshkar
Jun 03
Beginner, Domain Agnostic, Github, Panels, Plots
How Well Can a CNN Detect Architectural Style?
Mason Sanders
Jun 02
Beginner, Computer Vision, Object Detection, Experiment, CNN, Panels, Plots, Kaggle
Anonymous Mode
Robert Mitson
May 31
W&B Features
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Aman Arora
May 31
Intermediate, Computer Vision, Research, ConViT, Github, ImageNet
How Graphcore Is Supporting the Next Generation of Large Models With the Help of W&B
Weights & Biases Case Studies
May 25
Beginner, Hardware, NLP, Case Study, BERT, Large Models
How Nanit Improves and Develops Models
Nimrod Shabtay
May 20
Beginner, Computer Vision, Object Detection, Keras, Case Study, R-CNN, Panels, Plots, COCO
Funnel Activation for Visual Recognition (CVPR 2020)
Manoj Manjhari
May 18
Intermediate, Computer Vision, Classification, Object Detection, Research, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10
Gated Channel Transformation for Visual Recognition (CVPR 2020)
Manoj Manjhari
May 12
Intermediate, Computer Vision, Object Detection, Research, GCT, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10
An Introduction to Attention
Aritra Roy Gosthipaty, Devjyoti Chakraborty
May 11
Beginner, NLP, Tutorial, Panels, Plots
Kaggle's MMLM 2021-NCAAW-Spread
Ruchi Bhatia
May 10
Beginner, Tabular, scikit-learn, Tutorial, Github, Panels, Plots, Kaggle
Lyft's High-Capacity End-to-End Camera-Lidar Fusion for 3D Detection
Weights & Biases Case Studies
May 10
Advanced, Computer Vision, Object Detection, Semantic Segmentation, Case Study, Research, Plots, Autonomous Vehicles
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training (ECCV 2020)
Avantika
May 06
Intermediate, Computer Vision, Object Detection, PyTorch, Research, CNN, Github, Panels, Plots, Slider, COCO, RC
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