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human-centered-machine-learning

Schedule and Syllabus for Human-Centered Machine learning.

interview

Interview questions

interviews

CS interview study sheet

kaggle_moa_winner_hungry_for_gold

Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

knowledge-distillation

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lens

Code for the UAI 2021 paper "Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice"

lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

machine-learning-and-artificial-intelligence

Resources to learn more about Machine Learning and Artificial Intelligence

medical_transformers

Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

memorizing-transformers-pytorch

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

ml_med_imaging_failures

Failures in machine learning for medical imaging

needles-in-haystacks

Needles in Haystacks: On Classifying Tiny Objects in Large Images

planner

Script to generate my version of Cal Newport's time-block planner pages.

prml-solution-manual

my own Solution Manual of PRML

pytorch-flows

PyTorch implementations of algorithms for density estimation

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

representation-causal-public

retina-features

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

rmph_resources

Datasets and scripts needed for Introduction to Regression Methods for Public Health Using R

salient_imagenet

Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-mooc

scikit-learn-mooc

scipy-lecture-notes

Notes used to give tutorials

score_inverse_problems

Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"

self_supervised_learning_in_medical_imaging

A collection of self-supervised papers in medical imaging.

smlw-causality-tutorial

Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Workshop on Deep Learning and Reinforcement Learning.

social-good-106-section

Workshop materials and other resources for Stanford CS 106B/X Social Good section

ssds-causal-ml