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Tracking CO2 Emissions of Your Deep Learning Models with CodeCarbon and Weights & Biases

Aman Arora

Jan 07

Beginner, Domain Agnostic, Tutorial, Plots

Group Normalization in Pytorch (With Examples)

Adrish Dey

Jan 03

Beginner, Domain Agnostic, PyTorch, Tutorial, Conv2D, Plots, Sweeps, Normalization, Chum here

Choosing a Model for Detecting Surgical Instruments

Maria Rodriguez

Dec 13

Intermediate, Computer Vision, Object Detection, Experiment, R-CNN, VFNet, Github, Plots, Health Care, YOLO

How to Use W&B Teams For Your University Machine Learning Projects For Free

Ivan Goncharov

Dec 10

Beginner, Domain Agnostic, W&B Meta, Panels, Plots, Exemplary

An Introduction to VAE-GANs

Shambhavi Mishra

Dec 08

Intermediate, Computer Vision, GenAI, Experiment, VAE-GAN, Github, Panels, Plots

Layer Normalization in Pytorch (With Examples)

Adrish Dey

Dec 08

Beginner, Domain Agnostic, PyTorch, Tutorial, Conv2D, Plots

Normalization Series: What is Batch Normalization?

Saurav Maheshkar

Dec 03

Intermediate, Domain Agnostic, PyTorch, Tutorial, Conv2D, Plots, Tables, MNIST, Normalization, Chum here, Exemplary

Create a Data-Centric ML Pipeline with W&B and Segments.ai

Tobias Cornille

Dec 02

Beginner, Domain Agnostic, Case Study, W&B Meta, Artifacts, Panels, Plots

Deep Learning on the M1 Pro with Apple Silicon

Thomas Capelle

Dec 02

Intermediate, Hardware, Keras, Experiment, MobileNet v2, ResNet, Plots, Exemplary

Predicting Song Skipping on Spotify

Taha Bouhoun

Dec 01

Intermediate, Audio, Tutorial, Plots, Sweeps, Exemplary

Introduction to K-Means Clustering (With Examples)

Saurav Maheshkar

Nov 24

Beginner, Computer Vision, Classification, scikit-learn, Tutorial, Panels, Plots, Iris, K-means, Chum here

Introduction to Cross Validation Techniques

Saurav Maheshkar

Nov 18

Beginner, Domain Agnostic, Tutorial, Panels, Plots, Chum here, Exemplary

Training Reproducible Robots with W&B

Armand du Parc Locmaria

Nov 17

Intermediate, Reinforcement Learning, W&B Meta, Artifacts, Plots

Let's Talk ConvMixer Architecture. What it is? Why you should use it? And how you can use it?

Burhanuddin Rangwala

Nov 16

Intermediate, Computer Vision, Classification, Keras, Experiment, ConvMixer, Plots

LSTM RNN in Keras: Examples of One-to-Many, Many-to-One & Many-to-Many

Ayush Thakur

Nov 10

Intermediate, Domain Agnostic, Keras, Tutorial, RNN, Plots, LSTM

An Introduction to Linear Regression For Machine Learning (With Examples)

Saurav Maheshkar

Oct 27

Beginner, Domain Agnostic, scikit-learn, Tutorial, Panels, Plots, Ames Housing, Kaggle

A Super Easy Guide to the Super Massive Numerai Dataset

Suraj Parmar

Oct 26

Beginner, NLP, Sentiment Analysis, Tutorial, Plots, Financial

A Brief Introduction to Continual Learning

Shambhavi Mishra

Oct 18

Beginner, Domain Agnostic, Continual Learning, Guide, Github, Plots

iTAML: An Incremental Task-Agnostic Meta-learning Approach

Joel Joseph

Oct 15

Intermediate, Computer Vision, Classification, Research, iTAML, Github, Panels, Plots, Sweeps, CIFAR-100, CIFAR10, MNIST, RC

Meta-Consolidation for Continual Learning (MERLIN)

Shambhavi Mishra

Oct 08

Intermediate, Computer Vision, Classification, Research, Plots, CIFAR10, ImageNet, MNIST

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