ML Fundamentals

Greg Yang on Feature Learning in Infinite-Width Networks

How to Predict Which Candidate COVID-19 mRNA Vaccines Are Stable with AI | Grandmaster Series E3

Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427

Predicting Pitch Outcomes in Major League Baseball (Student Presentation, Group 11)

Machine Learning for Characterizing Climate-related Disasters (Student Presentation, Group 20)

Modeling COVID Positivity Rates at U.S. College Campuses (Student Presentation, Group 16)

Graph Convolutional Operators in the PyTorch JIT | PyTorch Developer Day 2020

Geometry-constrained Beamforming Network for end-to-end Farfield Sound Source Separation

Extracting information from political ad disclosures with the DeepForm team

Look ma, no side effects! Collaborative Work on AI Safety with the SafeLife Team

DeepSpeed | PyTorch Developer Day 2020

Debug your YOLOv5 experiments with Weights & Biases

How to Perform Large-Scale Image Classification | Grandmaster Series E2

The future of recruitment

Chirag Agarwal on detecting out-of-distribution data with Variance-of-Gradient

Neural Networks from Scratch (NNFS) in Print!

Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare

Granger Causality in Python : Data Science Code

Leadership In Extraordinary Times: Talking To Consumers

#TWIMLfest: Live Keynote Interview with Shakir Mohamed - #418

Can social impact survive the crisis?

Understanding Graph Neural Networks | Part 2/3 - GNNs and it's Variants

Making cryptography accessible, efficient, and scalable with Dr. Divya Gupta and Dr. Rahul Sharma

Time Series Talk : Augmented Dickey Fuller Test + Code