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Single Shell Free Water Elimination Model for Diffusion Tensor Imaging
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
Collection of New Grad Full Time positions in SWE, Quant, and PM.
A list of Summer 2024 internships for software engineering, updated automatically everyday
⭐️ Companies that don't have a broken hiring process
Collection of Summer 2025 tech internships!
💯 Curated coding interview preparation materials for busy software engineers
The ultimate in python interview preparation and coding practice.
📝 Lecture Notes on Data Structures and Computer Algorithms | Inha University | Instructor: Dr. Ashish Seth
Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch
A list of multi-task learning papers and projects.
A small package to create visualizations of PyTorch execution graphs
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
A Model Agnostic Multi-Objective Framework for Deep Learning models
Variational autoencoders for collaborative filtering
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
Publication-ready NN-architecture schematics.
List of Research Internships for Undergraduate Students
Preparation links and resources for system design questions
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.