Pinned Repositories
2019-CS109A
https://harvard-iacs.github.io/2019-CS109A/
Algorithms
Coursera class solutions
alt-regex-engine
Alternative compilation method for regular expressions
arogozhnikov.github.io
'Brilliantly wrong' blog, Machine Learning visualizations live here
awesome-interpretable-machine-learning
caglaacun.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
CIS521
Intro to Artificial Intelligence (Don't steal my code bro!)
fmpytorch
A PyTorch implementation of a Factorization Machine module in cython.
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
xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
caglaacun's Repositories
caglaacun/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
caglaacun/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
caglaacun/arogozhnikov.github.io
'Brilliantly wrong' blog, Machine Learning visualizations live here
caglaacun/awesome-interpretable-machine-learning
caglaacun/caglaacun.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
caglaacun/ConceptWhitening
caglaacun/dlrm
An implementation of a deep learning recommendation model (DLRM)
caglaacun/explanations-by-minimizing-uncertainty
Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
caglaacun/expressive-resume
A beautiful resume/cover letter LaTeX template pair that are extraordinarily easy to use.
caglaacun/FairAI
This is a collection of papers and other resources related to fairness.
caglaacun/google-research
Google Research
caglaacun/HyperAdam
The sources paper of our paper "HyperAdam: A Learnable Task-Adaptive Adam for Network Training"
caglaacun/learn2learn
A PyTorch Library for Meta-learning Research
caglaacun/Learning-to-Optimize-Arxiv
The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.
caglaacun/LearningToLearn
Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
caglaacun/Llama-2
All the projects related to Llama
caglaacun/machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
caglaacun/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
caglaacun/nn_data_collection
A ROS package to automatically generate labeled data for neural network training using Gazebo.
caglaacun/noether-networks
Meta-learning inductive biases in the form of useful conserved quantities.
caglaacun/pl_neumf
Implements Neumf and GMF using pytorch-lightning and BPR loss
caglaacun/pytorch-fm
Factorization Machine models in PyTorch
caglaacun/pytorch-maml
An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
caglaacun/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
caglaacun/RecDebiasing
This repository collects debiasing methods for recommendation
caglaacun/recommenders
Best Practices on Recommendation Systems
caglaacun/spotlight
Deep recommender models using PyTorch.
caglaacun/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
caglaacun/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022
caglaacun/xai-series