> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/machine-learning/interesting-ml-paper.md).

# Interesting Machine Learning Papers

* [PipeMonitor](https://alexfcoding.github.io/PipeMonitor/)
  * [alexfcoding/NeuralLibrary: C# library with demo UI app for creating, training and validation of neural network models](https://github.com/alexfcoding/NeuralLibrary)
* [TUMFTM/GraphBasedLocalTrajectoryPlanner: Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.](https://github.com/TUMFTM/GraphBasedLocalTrajectoryPlanner)
  * [Graph-Based Local Trajectory Planner Documentation—Graph-Based Local Trajectory Planner 0.0.1 documentation](https://graphbasedlocaltrajectoryplanner.readthedocs.io/en/latest/)
* [Concept Whitening for Interpretable Image Recognition](https://arxiv.org/abs/2002.01650)
  * [zhiCHEN96/ConceptWhitening](https://github.com/zhiCHEN96/ConceptWhitening)
* [Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)](https://arxiv.org/abs/1711.11279)
  * [Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) - Papers With Code](https://paperswithcode.com/paper/interpretability-beyond-feature-attribution#code)
* [Deep Learning-Based Human Pose Estimation: A Survey](https://arxiv.org/abs/2012.13392v3)
  * [zczcwh/DL-HPE](https://github.com/zczcwh/DL-HPE)
* [Analysis of skin lesion images with deep learning](https://arxiv.org/abs/2101.03814v1)
  * [j05t/lesion-analysis: Skin Lesion Analysis Towards Melanoma Detection](https://github.com/j05t/lesion-analysis)

## Neural Representation

* [vsitzmann/awesome-implicit-representations: A curated list of resources on implicit neural representations.](https://github.com/vsitzmann/awesome-implicit-representations)
* [yenchenlin/awesome-NeRF: A curated list of awesome neural radiance fields papers](https://github.com/yenchenlin/awesome-NeRF)
* [Neural ODE](https://ayandas.me/blog-tut/2020/03/20/neural-ode.html)

## MPC Deep Learning Control

* [CMU Locus Lab](https://github.com/locuslab)
* [mpc.pytorch: A fast and differentiable MPC solver for PyTorch](https://locuslab.github.io/mpc.pytorch/)
* [Publications](http://zicokolter.com/publications/)

## Deep Implicit Layers

* [Deep Implicit Layers - Neural ODEs, Deep Equilibirum Models, and Beyond](http://implicit-layers-tutorial.org/)
* [massastrello/awesome-implicit-neural-models](https://github.com/massastrello/awesome-implicit-neural-models)
