AndreiBarsan
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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Simple tutorials using Google's TensorFlow Framework
A better notebook for Scala (and more)
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http:https://lorenabarba.com/
A small package to create visualizations of PyTorch execution graphs
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A python tutorial on bayesian modeling techniques (PyMC3)
subpixel: A subpixel convnet for super resolution with Tensorflow
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
EPFL Machine Learning Course, Fall 2023
Fast, general, and tested differentiable structured prediction in PyTorch
Some ipython notebooks implementing AI algorithms
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python
Tutorial: Bayesian Statistical Analysis in Python
Visualising LIDAR data from KITTI dataset.
Tools, wrappers, etc... for data science with a concentration on text processing
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
Physical adversarial attack for fooling the Faster R-CNN object detector
Testing the chirality of digital imaging operations.
This repository contains several tools useful for pytorch users.
Japanese Sentiment Analysis
jupyter notebooks on machine learning, computational intelligence and statistics..
An Improvement of SMAPH-S for Entity Linking of Web Queries
Improved crowdsourcing vote aggregation using document similarity and machine learning.