Fully Connected

Bringing ML practitioners together

Fully Connected is your home for curated tutorials, conversations with industry leaders, deep dives into the newest ML research, and a whole lot more.

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Visualize & Debug Machine Learning Models
Lavanya Shukla
Create Your Own Preset: Composite Histogram
Stacey Svetlichnaya
Visualise Failure - Debugging with Model Activations
Morgan
Indoor Navigation: Complete Data Understanding
Andrada Olteanu
Predicting Diabetes Mellitus
Andrada Olteanu
Tables Tutorial: Visualize Data for Image Classification
Stacey Svetlichnaya
Custom Multi-Line Plots
Stacey Svetlichnaya
Trees and Dendrograms
Stacey Svetlichnaya
Extend a Preset: Histogram Bins
Stacey Svetlichnaya
Confusion Matrix
Stacey Svetlichnaya
Custom Line Plots
Stacey Svetlichnaya
Custom Bar Charts
Stacey Svetlichnaya
Custom Scatter Plots
Stacey Svetlichnaya
Custom Histograms
Stacey Svetlichnaya
Custom Charts from Scratch
Stacey Svetlichnaya
Track and debug your YOLOv5 models
Ayush Chaurasia
Logging Arbitrary Curves
Stacey Svetlichnaya
In-Domain GAN Inversion for Real Image Editing
Ayush Thakur
Wave a wandb.plot() to Visualize
Stacey Svetlichnaya
Visualizing The Effect of Attention on Gradient Flow Using Custom Charts
Kyle Goyette
Visualizing NLP Attention Based Models Using Custom Charts
Kyle Goyette
The W&B Machine Learning Visualization IDE
Shawn Lewis, Carey Phelps, Stacey Svetlichnaya, John Qian, Kyle Goyette, Tom Holmes
Plot Precision Recall Curves
Stacey Svetlichnaya
Plot ROC Curves
Stacey Svetlichnaya
Image Segmentation Using Keras and W&B
Ayush Thakur
Part 2: Deep Representations, a way towards neural style transfer
Aritra Roy Gosthipaty, Devjyoti Chakraborty
Part 1: Deep Representations, a way towards neural style transfer
Aritra Roy Gosthipaty, Devjyoti Chakraborty
Track Your Java Model's Performance With W&B
Justin Brooks
3D Image Inpainting
Ayush Thakur
An Introduction to Adversarial Examples in Deep Learning
Sayak Paul
Visualize Scikit Models
Lavanya Shukla
Organize Your Machine Learning Pipelines with Artifacts
Ayush Chaurasia
Towards Representation Learning for an Image Retrieval Task
Aritra Roy Gosthipaty, Souradip Chakraborty
Hiding In Plain Sight: Deep Steganography
Ayush Chaurasia
Adversarial Latent Autoencoders
Ayush Thakur, Sairam Sundaresan
Experiments With OpenAI Jukebox
Ishaan Malhi
DeepChem: Molecular Solubility
Stacey Svetlichnaya
Visualizing Confusion Matrices With W&B
Mathïs Fédérico
The Al-Dente Neural Network: Part I
Sairam Sundaresan
Towards Self-Supervised Image Understanding with SimCLR
Sayak Paul
Bounding Boxes for Object Detection
Stacey Svetlichnaya
When Inception-ResNet-V2 is too slow
Stacey Svetlichnaya
Image Masks for Semantic Segmentation
Stacey Svetlichnaya
The View from the Driver's Seat
Stacey Svetlichnaya
Track Model Performance
Lavanya Shukla
Visualize Models in TensorBoard With Weights and Biases
Lavanya Shukla
Log ROC, PR curves and Confusion Matrices with W&B
Lavanya Shukla
Visualizing Molecular Structure with Weights & Biases
Nicholas Bardy
Visualize Model Predictions
Lavanya Shukla
Evaluating the Impact of Sequence Convolutions and Embeddings on Protein Structure Prediction
Jonathan King
Understanding State of the Art - Deep Learning: 3D Semantic Segmentation
Nicholas Bardy
Curriculum Learning in Nature
Stacey Svetlichnaya
FastText Nanobot for the Transformer Age
Stacey Svetlichnaya
Visualize, Track & Compare Fastai Models
Boris Dayma