PDAM: Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images

Source code for deep symbolic regression.

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Machine Learning and Computer Vision Engineer - Technical Interview Questions

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

StarDist - Object Detection with Star-convex Shapes

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Stanford CS149 -- Assignment 1

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Axon/Myelin segmentation using Deep Learning

CS 162 skeleton code for individual assignments

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Towards large yet imperceptible adversarial image perturbations with perceptual color distance

A Collection of Variational Autoencoders (VAE) in PyTorch.

scikit-learn: machine learning in Python

Probabilistic Modeling Toolkit for Matlab/Octave.

Open Source Computer Vision Library

Preparation links and resources for system design questions

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Public facing notes page

吴恩达老师的机器学习课程个人笔记

TensorFlow code and pre-trained models for BERT