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* ACO (heuristic-based swarm algorithms)
* ACO_LS (our approach)
* OR-Tools (serve as ground truth, but should be considered as base line)
* RL (L2D, Jsp-env etc) reinforcement learning based algor…
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Hi everyone! đź‘‹
I’m currently learning about machine learning concepts and am struggling to wrap my head around k-means clustering. I would really appreciate any resources, explanations, or examples…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Backpropagation in Neural Networks
:red_circle: **Aim** : Backpropagation is a fundamental algorithm u…
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- [ ] Apply at least four different learning algorithms (from different major groups: Support Vector Machines, Neural Networks, Nearest Neighbor Classifiers, Naive Bayes, Decision Trees, Generalized L…
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For all Mahalanobis metric learners, we should be able to reduce the dimension. For those that optimize the transformation matrix `L`, this can be done explicitely by setting the matrix at init to hav…
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**Issue:** Let’s make learning DSA interactive! Your task is to create a **JavaScript-based visualization** of any DSA concept (e.g., Graph Traversal, Sorting, Recursion).
**Requirements:**
…
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Hello, VENumML team!
I came across VENumML, and I’m very impressed by its vision for enabling `Privacy-Preserving Machine Learning (PPML)` with `Fully Homomorphic Encryption (FHE)`. I believe this …
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We (at Maastricht) have developed a number of federated learning algorithms in the past year incl. logistic regression, Bayesian Networks, Cox PH, SVM, ...). Making these mature, with easy configurati…
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- [ ] I have marked all applicable categories:
+ [ ] exception-raising bug
+ [ ] RL algorithm bug
+ [ ] documentation request (i.e. "X is missing from the documentation.")
+ [ ] ne…