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Track and Tune Your Reinforcement Learning Models With Weights & Biases

Yash Kotadia

Oct 02

Intermediate, Reinforcement Learning, Gaming, Experiment, Panels, Plots, Sweeps

Melanoma Detection Using Weights & Biases

Anshul Sharma

Sep 29

Intermediate, Computer Vision, Object Detection, Experiment, DenseNet, Panels, Plots, Kaggle, Health Care

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

Distilling Knowledge in Neural Networks With Weights & Biases

Sayak Paul

Sep 18

Intermediate, Computer Vision, Classification, Keras, Tutorial, Panels, Plots, MNIST

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

An Introduction to Adversarial Examples in Deep Learning

Sayak Paul

Aug 23

Intermediate, Computer Vision, Domain Agnostic, PyTorch, Tutorial, GAN, Github, Panels, Plots

Towards Representation Learning for an Image Retrieval Task

Aritra Roy Gosthipaty, Souradip Chakraborty

Aug 07

Intermediate, Computer Vision, GenAI, Experiment, Panels, Plots, CIFAR10

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

Generate Meaningful Captions for Images With Attention Models

Rajesh Shreedhar Bhat, Souradip Chakraborty

Jul 23

Intermediate, Computer Vision, NLP, Text Generation, Keras, Research, CNN, Github, Panels, Plots, Classification

Cute Animals and Post-Modern Style Transfer: StarGAN v2 for Multi-Domain Image Synthesis

Stacey Svetlichnaya

Jul 22

Intermediate, Computer Vision, GenAI, Research, GAN, Panels, Plots

Modern Data Augmentation Techniques for Computer Vision

Ayush Thakur

Jul 21

Intermediate, Computer Vision, Keras, Tutorial, ResNet, Panels, Plots, CIFAR10

Hiding In Plain Sight: Deep Steganography

Ayush Chaurasia

Jul 17

Intermediate, Computer Vision, Experiment, Tutorial, Panels, Plots, Sweeps, ImageNet

Diving Into Model Pruning in Deep Learning

Sayak Paul

Jun 10

Intermediate, NLP, OCR, Keras, Experiment, Panels, Plots, MNIST

DeepChem: Predicting Molecular Solubility With Weights & Biases

Stacey Svetlichnaya

May 29

Advanced, Computer Vision, scikit-learn, Experiment, Github, Panels, Plots, Sweeps, Health Care

The Power of Random Features of a Convolutional Neural Network (CNN)

Sayak Paul

May 18

Intermediate, Computer Vision, Object Detection, Keras, Experiment, Research, CNN, ResNet, Panels, Plots, CIFAR10, Normalization

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